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Cambridge Language Sciences

Interdisciplinary Research Centre
 

The Institute for Automated Language Teaching and Assessment

The Institute for Automated Language Teaching and Assessment (ALTA) is funded by Cambridge Assessment English to conduct research into improving linguistic proficiency of learners and into automated forms of assessment of language performance. The institute was founded in October 2013 and is administered by the Computer Laboratory. It also includes principal investigators from the Departments of Engineering and Theoretical and Applied Linguistics.


Read more at: Dr Marek Rei

Dr Marek Rei

Machine learning;
neural network models;
sequence labeling tasks;
automated assessment

Conference proceedings

2019

  • Rei, M. and Sogaard, A., 2019. Jointly Learning to Label Sentences and Tokens THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE,
  • 2018 (Accepted for publication)

  • Rei, M. and Søgaard, A., 2018 (Accepted for publication). Zero-shot Sequence Labeling: Transferring Knowledge from Sentences to Tokens
    Doi: http://doi.org/10.17863/CAM.35110
  • 2018

  • Rei, M., Gerz, D. and Vulić, I., 2018. Scoring lexical entailment with a supervised directional similarity network ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers), v. 2
    Doi: http://doi.org/10.18653/v1/p18-2101
  • Stathopoulos, YA., Baker, S., Rei, M. and Teufel, S., 2018. Variable typing: Assigning meaning to variables in mathematical text NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference, v. 1
  • Barrett, M., Bingel, J., Hollenstein, N., Rei, M. and Søgaard, A., 2018. Sequence classification with human attention CoNLL 2018 - 22nd Conference on Computational Natural Language Learning, Proceedings,
    Doi: http://doi.org/10.18653/v1/k18-1030
  • 2017 (Accepted for publication)

  • Rei, M., Bulat, LT., Kiela, D. and Shutova, E., 2017 (Accepted for publication). Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection
  • 2017

  • Rei, M., Felice, M., Yuan, Z. and Briscoe, T., 2017. Artificial Error Generation with Machine Translation and Syntactic Patterns Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications,
  • Farag, Y., Rei, M. and Briscoe, T., 2017. An Error-Oriented Approach to Word Embedding Pre-Training Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications,
  • Rei, M., 2017. Semi-supervised multitask learning for sequence labeling ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers), v. 1
    Doi: http://doi.org/10.18653/v1/P17-1194
  • Rei, M., 2017. Detecting Off-topic Responses to Visual Prompts
  • Rei, M. and Giannakoudaki, E., 2017. Auxiliary Objectives for Neural Error Detection Models
  • Giannakoudaki, E., Rei, M., Andersen, OE. and Yuan, Z., 2017. Neural Sequence-Labelling Models for Grammatical Error Correction Proceedings of the 2017 Conference on Empirical Methods in natural Language Processing, v. D17-1
    Doi: http://doi.org/10.18653/v1/D17-1297
  • 2016 (Accepted for publication)

  • Rei, M. and Cao, K., 2016 (Accepted for publication). A Joint Model for Word Embedding and Word Morphology
  • 2016

  • Alikaniotis, D., Yannakoudakis, H. and Rei, M., 2016. Automatic text scoring using neural networks 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers, v. 2
    Doi: http://doi.org/10.18653/v1/p16-1068
  • Rei, M. and Yannakoudakis, H., 2016. Compositional sequence labeling models for error detection in learner writing 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers, v. 2
  • Rei, M. and Cummins, R., 2016. Sentence Similarity Measures for Fine-Grained Estimation of Topical Relevance in Learner Essays https://aclweb.org/anthology/volumes/proceedings-of-the-11th-workshop-on-innovative-use-of-nlp-for-building-educational-applications/,
    Doi: http://doi.org/10.18653/v1/W16-05
  • Rei, M., Crichton, GKO. and Pyysalo, S., 2016. Attending to characters in neural sequence labeling models COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers,
  • 2015

  • Rei, M., 2015. Online representation learning in recurrent neural language models Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing,
  • 2014

  • Rei, M. and Briscoe, T., 2014. Parser lexicalisation through self-learning NAACL HLT 2013 - 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Main Conference,
  • Rei, M. and Briscoe, T., 2014. Looking for Hyponyms in Vector Space. CoNLL,
  • 2011

  • Rei, M. and Briscoe, T., 2011. Unsupervised Entailment Detection between Dependency Graph Fragments
    Doi: http://doi.org/10.17863/CAM.21358
  • 2010

  • Rei, M. and Briscoe, T., 2010. Combining manual rules and supervised learning for hedge cue and scope detection Proceedings of the Fourteenth Conference on Computational Natural Language Learning: Shared Task,
  • Journal articles

    2017

  • Farag, Y., Rei, M. and Briscoe, T., 2017. An Error-Oriented Approach to Word Embedding Pre-Training. CoRR, v. abs/1707.06841
  • Rei, M., Felice, M., Yuan, Z. and Briscoe, T., 2017. Artificial Error Generation with Machine Translation and Syntactic Patterns. CoRR, v. abs/1707.05236
  • 2011

  • Briscoe, T., Harrison, K., Naish, A., Parker, A., Rei, M., Siddharthan, A., Sinclair, D., Slater, M. and Watson, R., 2011. Intelligent Information Access from Scientific Papers CURRENT CHALLENGES IN PATENT INFORMATION RETRIEVAL, v. 29
    Doi: 10.1007/978-3-642-19231-9_16
  • Theses / dissertations

    2013

  • Rei, M., 2013. Minimally supervised dependency-based methods for natural language processing

  • Read more at: Dr Øistein E. Andersen

    Dr Øistein E. Andersen

     

    Journal articles

    2018

  • Yannakoudakis, H., Andersen, ØE., Geranpayeh, A., Briscoe, T. and Nicholls, D., 2018. Developing an automated writing placement system for ESL learners Applied Measurement in Education, v. 31
    Doi: http://doi.org/10.1080/08957347.2018.1464447
  • Conference proceedings

    2017

  • Giannakoudaki, E., Rei, M., Andersen, OE. and Yuan, Z., 2017. Neural Sequence-Labelling Models for Grammatical Error Correction Proceedings of the 2017 Conference on Empirical Methods in natural Language Processing, v. D17-1
    Doi: http://doi.org/10.18653/v1/D17-1297
  • 2012

  • Kochmar, E., Andersen, O. and Briscoe, E., 2012. HOO 2012 Error Recognition and Correction Shared Task: Cambridge University Submission Report http://aclweb.org/anthology/W12-2028, v. Proceedings of the Seventh Workshop on Building Educational Applications Using NLP

  • Read more at: Mariano Felice

    Mariano Felice

    Grammatical error detection and correction in non-native English text


    Read more at: Dr Kate Knill

    Dr Kate Knill

    Journal articles

    2024

  • Varela, AS., Stoyanchev, S., Keizer, S., Doddipatla, R. and Knill, K., 2024. Entity Resolution in Situated Dialog With Unimodal and Multimodal Transformers IEEE/ACM Transactions on Audio Speech and Language Processing, v. 32
    Doi: 10.1109/TASLP.2023.3304468
  • 2022

  • Ragni, A., Gales, MJF., Rose, O., Knill, KM., Kastanos, A., Li, Q. and Ness, PM., 2022. Increasing Context for Estimating Confidence Scores in Automatic Speech Recognition IEEE/ACM Transactions on Audio Speech and Language Processing, v. 30
    Doi: http://doi.org/10.1109/TASLP.2022.3161153
  • 2018

  • Wang, Y., Gales, MJF., Knill, KM., Kyriakopoulos, K., Malinin, A., van Dalen, RC. and Rashid, M., 2018. Towards automatic assessment of spontaneous spoken English Speech Communication, v. 104
    Doi: http://doi.org/10.1016/j.specom.2018.09.002
  • 2017

  • 2017. Introduction to the Special Issue on End-to-End Speech and Language Processing IEEE Journal of Selected Topics in Signal Processing, v. 11
    Doi: 10.1109/jstsp.2017.2767938
  • 2014

  • Chen, L., Gales, MJF., Braunschweiler, N., Akamine, M. and Knill, K., 2014. Integrated expression prediction and speech synthesis from text IEEE Journal on Selected Topics in Signal Processing, v. 8
    Doi: http://doi.org/10.1109/JSTSP.2013.2294938
  • 2013

  • Mamou, J., Cui, J., Cui, X., Gales, MJF., Kingsbury, B., Knill, K., Mangu, L., Nolden, D., Picheny, M., Ramabhadran, B., Schluter, R., Sethy, A. and Woodland, PC., 2013. System combination and score normalization for spoken term detection ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2013.6639278
  • Kingsbury, B., Cui, J., Cui, X., Gales, MJF., Knill, K., Mamou, J., Mangu, L., Nolden, D., Picheny, M., Ramabhadran, B., Schluter, R., Sethy, A. and Woodland, PC., 2013. A high-performance Cantonese keyword search system ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2013.6639279
  • 2012

  • Zen, H., Braunschweiler, N., Buchholz, S., Gales, MJF., Knill, K., Krstulović, S. and Latorre, J., 2012. Statistical parametric speech synthesis based on speaker and language factorization IEEE Transactions on Audio, Speech and Language Processing, v. 20
    Doi: http://doi.org/10.1109/TASL.2012.2187195
  • 2011

  • Chin, KK., Xu, HT., Gales, MJF., Breslin, C. and Knill, K., 2011. RAPID JOINT SPEAKER AND NOISE COMPENSATION FOR ROBUST SPEECH RECOGNITION 2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING,
  • Latorre, J., Gales, MJF., Buchholz, S., Knill, K., Tamura, M., Ohtani, Y. and Akamine, M., 2011. CONTINUOUS F0 IN THE SOURCE-EXCITATION GENERATION FOR HMM-BASED TTS: DO WE NEED VOICEDIUNVOICED CLASSIFICATION? 2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING,
  • Breslin, C., Chin, KK., Gales, MJF. and Knill, K., 2011. Integrated online speaker clustering and adaptation Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • 2009

  • Breslin, C., Stuttle, M. and Knill, K., 2009. Compression techniques applied to multiple speech recognition systems Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • 1999

  • Gales, MJF., Knill, K. and Young, SJ., 1999. State-based Gaussian selection in large vocabulary continuous speech recognition using HMMs IEEE Transactions on Speech and Audio Processing, v. 7
    Doi: 10.1109/89.748120
  • Knill, KM. and Young, SJ., 1999. Low-cost implementation of open set keyword spotting Computer Speech and Language, v. 13
    Doi: 10.1006/csla.1999.0122
  • Conference proceedings

    2023

  • Nicholls, D., Knill, K., Gales, MJF., Ragni, A. and Ricketts, P., 2023. Speak & Improve: L2 English Speaking Practice Tool Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2023-August
  • Ma, R., Gales, MJF., Knill, KM. and Qian, M., 2023. N-best T5: Robust ASR Error Correction using Multiple Input Hypotheses and Constrained Decoding Space Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2023-August
    Doi: 10.21437/Interspeech.2023-1616
  • Ma, R., Qian, M., Gales, MJF. and Knill, KM., 2023. Adapting an Unadaptable ASR System Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2023-August
    Doi: 10.21437/Interspeech.2023-1899
  • McKnight, SW., Civelekoglu, A., Gales, MJF., Banno, S., Liusie, A. and Knill, KM., 2023. Automatic Assessment of Conversational Speaking Tests
    Doi: http://doi.org/10.17863/CAM.99725
  • Ma, R., Qian, M., Gales, M. and Knill, K., 2023. Adapting an ASR Foundation Model for Spoken Language Assessment
    Doi: 10.17863/CAM.99727
  • Knill, K., Nicholls, D., Gales, M., Stroinski, P. and Watkinson, A., 2023. Annotation of L2 English Speech for Developing and Evaluating End-to-End Spoken Grammatical Error Correction
    Doi: http://doi.org/10.17863/CAM.99825
  • 2022

  • Bannò, S., Balusu, B., Gales, MJF., Knill, KM. and Kyriakopolous, K., 2022. View-Specific Assessment of L2 Spoken English Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2022-September
    Doi: 10.21437/Interspeech.2022-10691
  • 2021

  • Wei, X., Gales, MJF. and Knill, KM., 2021. Analysing bias in spoken language assessment using concept activation vectors ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 2021-June
    Doi: http://doi.org/10.1109/ICASSP39728.2021.9413988
  • Gretter, R., Matassoni, M., Falavigna, D., Misra, A., Leong, CW., Knill, K. and Wang, L., 2021. ETLT 2021: Shared task on automatic speech recognition for non-native children’s speech Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 3
    Doi: http://doi.org/10.21437/Interspeech.2021-1237
  • 2020

  • Wu, X., Knill, KM., Gales, MJF. and Malinin, A., 2020. Ensemble approaches for uncertainty in spoken language assessment Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2020-October
    Doi: http://doi.org/10.21437/Interspeech.2020-2238
  • Caines, A., Bentz, C., Knill, K., Rei, M. and Buttery, P., 2020. Grammatical error detection in transcriptions of spoken English COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference,
  • Raina, V., Gales, MJF. and Knill, K., 2020. Universal adversarial attacks on spoken language assessment systems Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2020-October
    Doi: 10.21437/Interspeech.2020-1890
  • Kyriakopoulos, K., Knill, KM. and Gales, MJF., 2020. Automatic detection of accent and lexical pronunciation errors in spontaneous non-native English speech Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2020-October
    Doi: 10.21437/Interspeech.2020-2881
  • Caines, A., Bentz, C., Knill, K., Rei, M. and Buttery, P., 2020. Grammatical error detection in transcriptions of spoken English Proceedings of the 28th International Conference on Computational Linguistics,
    Doi: http://doi.org/10.18653/v1/2020.coling-main.195
  • Raina, V., Gales, MJF. and Knill, K., 2020. Complementary systems for Off-Topic spoken response detection Proceedings of the Annual Meeting of the Association for Computational Linguistics,
  • Knill, KM., Wang, L., Wang, Y., Wu, X. and Gales, MJF., 2020. Non-native children's automatic speech recognition: The INTERSPEECH 2020 shared task ALTA systems Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2020-October
    Doi: http://doi.org/10.21437/Interspeech.2020-2154
  • 2019 (Accepted for publication)

  • Lu, Y., Gales, M., Knill, K., Manakul, P. and Wang, Y., 2019 (Accepted for publication). Disfluency Detection for Spoken Learner English
    Doi: http://doi.org/10.17863/CAM.42082
  • 2019

  • Mirawdeli, A., Gallagher, I., Gibson, J., Katsos, N., Knill, K. and Wood, H., 2019. Splash: Speech and language assessment in schools and homes Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2019-September
    Doi: 10.21437/Interspeech.2019-8027
  • Lu, Y., Gales, MJF., Knill, KM., Manakul, P. and Wang, Y., 2019. Disfluency Detection for Spoken Learner English 8th ISCA Workshop on Speech and Language Technology in Education, SLaTE 19,
    Doi: http://doi.org/10.21437/SLaTE.2019-14
  • Knill, K., Gales, M., Manakul, P. and Caines, A., 2019. Automatic grammatical error detection of non-native spoken learner English ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    Doi: 10.1109/icassp.2019.8683755
  • Lu, Y., Gales, MJF., Knill, KM., Manakul, P., Wang, L. and Wang, Y., 2019. Impact of ASR performance on spoken grammatical error detection Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2019-September
    Doi: http://doi.org/10.21437/Interspeech.2019-1706
  • Knill, KM., Gales, MJF., Manakul, PP. and Caines, AP., 2019. Automatic Grammatical Error Detection of Non-native Spoken Learner English ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 2019-May
    Doi: 10.1109/ICASSP.2019.8683080
  • Kyriakopoulos, K., Knill, KM. and Gales, MJF., 2019. A deep learning approach to automatic characterisation of rhythm in non-native English speech Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2019-September
    Doi: http://doi.org/10.21437/Interspeech.2019-3186
  • 2018

  • Kyriakopoulos, K., Knill, KM. and Gales, MJF., 2018. A deep learning approach to assessing non-native pronunciation of English using phone distances Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2018-September
    Doi: http://doi.org/10.21437/Interspeech.2018-1087
  • Knill, KM., Gales, MJF., Kyriakopoulos, K., Malinin, A., Ragni, A., Wang, Y. and Caines, AP., 2018. Impact of ASR performance on free speaking language assessment Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2018-September
    Doi: http://doi.org/10.21437/Interspeech.2018-1312
  • Wang, Y., Wong, JHM., Gales, MJF., Knill, KM. and Ragni, A., 2018. Sequence Teacher-Student Training of Acoustic Models for Automatic Free Speaking Language Assessment 2018 IEEE Spoken Language Technology Workshop, SLT 2018 - Proceedings,
    Doi: 10.1109/SLT.2018.8639557
  • 2017 (Accepted for publication)

  • Kyriakopoulos, K., Gales, M. and Knill, K., 2017 (Accepted for publication). Automatic characterisation of the pronunciation of non-native English speakers using phone distance features http://www.isca-speech.org/archive/SLaTE_2017/,
    Doi: http://doi.org/10.21437/SLaTE.2017-11
  • Malinin, A., Knill, K., Ragni, A., Wang, Y. and Gales, M., 2017 (Accepted for publication). An attention based model for off-topic spontaneous spoken response detection: An Initial Study http://www.isca-speech.org/archive/SLaTE_2017/,
    Doi: http://doi.org/10.21437/SLaTE.2017-25
  • 2017

  • Malinin, A., Ragni, A., Knill, KM. and Gales, MJF., 2017. Incorporating uncertainty into deep learning for spoken language assessment ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers), v. 2
    Doi: http://doi.org/10.18653/v1/P17-2008
  • Ragni, A., Wu, C., Gales, MJF., Vasilakes, J. and Knill, KM., 2017. Stimulated training for automatic speech recognition and keyword search in limited resource conditions ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: 10.1109/ICASSP.2017.7953074
  • Ragni, A., Saunders, D., Zahemszky, P., Vasilakes, J., Gales, MJF. and Knill, KM., 2017. Morph-to-word transduction for accurate and efficient automatic speech recognition and keyword search ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: 10.1109/ICASSP.2017.7953262
  • Chen, X., Ragni, A., Vasilakes, J., Liu, X., Knill, K. and Gales, MJF., 2017. Recurrent neural network language models for keyword search ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2017.7953263
  • Gales, MJF., Knill, KM. and Ragni, A., 2017. Low-resource speech recognition and keyword-spotting Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 10458 LNAI
    Doi: 10.1007/978-3-319-66429-3_1
  • Knill, KM., Gales, MJF., Kyriakopoulos, K., Ragni, A. and Wang, Y., 2017. Use of graphemic lexicons for spoken language assessment Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2017-August
    Doi: 10.21437/Interspeech.2017-978
  • Malinin, A., Knill, K. and Gales, MJF., 2017. A hierarchical attention based model for off-topic spontaneous spoken response detection 2017 IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2017 - Proceedings, v. 2018-January
    Doi: 10.1109/ASRU.2017.8268963
  • 2016

  • Cui, J., Kingsbury, B., Ramabhadran, B., Sethy, A., Audhkhasi, K., Cui, X., Kislal, E., Mangu, L., Nussbaum-Thom, M., Picheny, M., Tüske, Z., Golik, P., Schluter, R., Ney, H., Gales, MJF., Knill, KM., Ragni, A., Wang, H. and Woodland, P., 2016. Multilingual representations for low resource speech recognition and keyword search 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2015 - Proceedings,
    Doi: 10.1109/ASRU.2015.7404803
  • Ragni, A., Dakin, E., Chen, X., Gales, MJF. and Knill, KM., 2016. Multi-language neural network language models Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 08-12-September-2016
    Doi: http://doi.org/10.21437/Interspeech.2016-371
  • Yang, J., Ragni, A., Gales, MJF. and Knill, KM., 2016. Log-linear system combination using structured support vector machines Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 08-12-September-2016
    Doi: http://doi.org/10.21437/Interspeech.2016-377
  • Malinin, A., Van Dalen, RC., Wang, Y., Knill, KM. and Gales, MJF., 2016. Off-topic response detection for spontaneous spoken English assessment 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers, v. 2
    Doi: http://doi.org/10.18653/v1/p16-1102
  • Litman, D., Young, S., Gales, M., Knill, K., Ottewell, K., van Dalen, R. and Vandyke, D., 2016. Towards Using Conversations with Spoken Dialogue Systems in the Automated Assessment of Non-Native Speakers of English Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue,
    Doi: http://doi.org/10.18653/v1/w16-3635
  • 2015 (Published online)

  • Wang, H., Ragni, A., Gales, MJF., Knill, KM., Woodland, PC. and Zhang, C., 2015 (Published online). Joint decoding of tandem and hybrid systems for improved keyword spotting on low resource languages Interspeech 2015,
    Doi: 10.21437/interspeech.2015-726
  • 2015

  • van Dalen, RC., Knill, KM. and Gales, MJF., 2015. Automatically Grading Learners’ English Using a Gaussian Process Speech and Language Technology in Education, SLaTE 2015,
  • van Dalen, RC., Knill, KM., Tsiakoulis, P. and Gales, MJF., 2015. IMPROVING MULTIPLE-CROWD-SOURCED TRANSCRIPTIONS USING A SPEECH RECOGNISER 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP),
  • Ragni, A., Gales, MJF. and Knill, KM., 2015. A language space representation for speech recognition ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 2015-August
    Doi: 10.1109/ICASSP.2015.7178849
  • Gales, MJF., Knill, KM. and Ragni, A., 2015. Unicode-based graphemic systems for limited resource languages ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 2015-August
    Doi: 10.1109/ICASSP.2015.7178960
  • Van Dalen, RC., Knill, KM., Tsiakoulis, P. and Gales, MJF., 2015. Improving multiple-crowd-sourced transcriptions using a speech recogniser ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 2015-August
    Doi: 10.1109/ICASSP.2015.7178864
  • Wang, H., Ragni, A., Gales, MJF., Knill, KM., Woodland, PC. and Zhang, C., 2015. Joint decoding of tandem and hybrid systems for improved keyword spotting on low resource languages Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2015-January
  • Mendels, G., Cooper, E., Soto, V., Hirschberg, J., Gales, M., Knill, K., Ragni, A. and Wang, H., 2015. Improving speech recognition and keyword search for low resource languages using web data Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2015-January
  • 2014 (Published online)

  • Knill, KM., Gales, MJF., Ragni, A. and Rath, SP., 2014 (Published online). Language independent and unsupervised acoustic models for speech recognition and keyword spotting Interspeech 2014,
    Doi: 10.21437/interspeech.2014-4
  • Rath, SP., Knill, KM., Ragni, A. and Gales, MJF., 2014 (Published online). Combining tandem and hybrid systems for improved speech recognition and keyword spotting on low resource languages Interspeech 2014,
    Doi: 10.21437/interspeech.2014-212
  • Ragni, A., Knill, KM., Rath, SP. and Gales, MJF., 2014 (Published online). Data augmentation for low resource languages Interspeech 2014,
    Doi: 10.21437/interspeech.2014-207
  • 2014

  • Gales, MJF., Knill, KM., Ragni, A. and Rath, SP., 2014. SPEECH RECOGNITION AND KEYWORD SPOTTING FOR LOW RESOURCE LANGUAGES: BABEL PROJECT RESEARCH AT CUED 4th Workshop on Spoken Language Technologies for Under-Resourced Languages, SLTU 2014,
  • Ragni, A., Knill, KM., Rath, SP. and Gales, MJF., 2014. Data augmentation for low resource languages Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • Knill, KM., Gales, MJF., Ragni, A. and Rath, SP., 2014. Language independent and unsupervised acoustic models for speech recognition and keyword spotting Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • Rath, SP., Knill, KM., Ragni, A. and Gales, MJF., 2014. Combining tandem and hybrid systems for improved speech recognition and keyword spotting on low resource languages Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • Chen, X., Gales, MJF., Knill, K., Breslin, C., Chen, L., Chin, KK. and Wan, V., 2014. An initial investigation of long-term adaptation for meeting transcription Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • 2013

  • Chen, L., Gales, MJF., Braunschweiler, N., Akamine, M. and Knill, K., 2013. Integrated automatic expression prediction and speech synthesis from text ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2013.6639218
  • Latorre, J., Gales, MJF., Knill, K. and Akamine, M., 2013. Training a supra-segmental parametric F0 model without interpolating F0 ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2013.6638995
  • Knill, KM., Gales, MJF., Rath, SP., Woodland, PC., Zhang, C. and Zhang, S-X., 2013. Investigation of multilingual deep neural networks for spoken term detection 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2013 - Proceedings,
    Doi: 10.1109/ASRU.2013.6707719
  • 2012 (Published online)

  • Wan, V., Latorre, J., Chin, KK., Chen, L., Gales, MJF., Zen, H., Knill, K. and Akamine, M., 2012 (Published online). Combining multiple high quality corpora for improving HMM-TTS Interspeech 2012,
    Doi: 10.21437/interspeech.2012-357
  • Latorre, J., Wan, V., Gales, MJF., Chen, L., Chin, KK., Knill, K. and Akamine, M., 2012 (Published online). Speech factorization for HMM-TTS based on cluster adaptive training Interspeech 2012,
    Doi: 10.21437/interspeech.2012-289
  • 2012

  • Eyben, F., Buchholz, S., Braunschweiler, N., Latorre, J., Wan, V., Gales, MJF. and Knill, K., 2012. Unsupervised clustering of emotion and voice styles for expressive TTS ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: 10.1109/ICASSP.2012.6288797
  • Latorre, J., Wan, V., Gales, MJF., Chen, L., Chin, KK., Knill, K. and Akamine, M., 2012. Speech factorization for HMM-TTS based on cluster adaptive training. 13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012, v. 2
  • Wan, V., Latorre, J., Chin, KK., Chen, L., Gales, MJF., Zen, H., Knill, K. and Akamine, M., 2012. Combining multiple high quality corpora for improving HMM-TTS 13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012, v. 2
  • 2011

  • Maia, R., Zen, H., Knill, K., Gales, MJF. and Buchholz, S., 2011. Multipulse sequences for residual signal modeling Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • Breslin, C., Chin, KK., Gales, MJF., Knill, K. and Xu, H., 2011. Prior information for rapid speaker adaptation Proceedings of the 11th Annual Conference of the International Speech Communication Association,
  • 2010 (Published online)

  • Webster, G., Krstulović, S. and Knill, K., 2010 (Published online). A comparison of pronunciation modeling approaches for HMM-TTS Interspeech 2010,
    Doi: 10.21437/interspeech.2010-603
  • 2009

  • Chen, L., Chin, KK. and Knill, K., 2009. Improved language modelling using bag of word pairs Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • 2006

  • Sityaev, D., Burrows, T., Jackson, P. and Knill, K., 2006. Analysis and modelling of question intonation in american english Proceedings of the International Conference on Speech Prosody,
  • 2005

  • Burrows, T., Jackson, P., Knill, K. and Sityaev, D., 2005. Combining models of prosodic phrasing and pausing 9th European Conference on Speech Communication and Technology,
  • 1996

  • Knill, K., Gales, MJF. and Young, SJ., 1996. Use of Gaussian selection in large vocabulary continuous speech recognition using HMMs Proceedings of the 4th International Conference on Spoken Language Processing (ICSLP), v. 1
  • Knill, K. and Young, SJ., 1996. Fast implementation methods for Viterbi-based word-spotting Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), v. 1
    Doi: 10.1109/ICASSP.1996.541148
  • 1993

  • KNILL, KM. and CONSTANTINIDES, AG., 1993. LEAST-MEAN SQUARE ADAPTATION OF THE ORTHOGONAL BLOCK ADAPTIVE LINE ENHANCER CONFERENCE RECORD OF THE TWENTY-SEVENTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2,
  • 1992

  • Constantinides, AG., Knill, KM. and Chambers, JA., 1992. A novel orthogonal set adaptive line enhancer tuned with fourth-order cumulants ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 4
    Doi: http://doi.org/10.1109/ICASSP.1992.226441
  • Reports

    1997

  • Gales, MJF., Knill, KM. and Young, SJ., 1997. State-based Gaussian selection in large vocabulary continuous speech recognition using HMMs

  • Read more at: Dr Andrew Caines

    Dr Andrew Caines

    Second language learning; first language acquisition; speech; corpus linguistics; language evolution

    Journal articles

    2023

  • Benedetto, L., Cremonesi, P., Caines, A., Buttery, P., Cappelli, A., Giussani, A. and Turrin, R., 2023. A Survey on Recent Approaches to Question Difficulty Estimation from Text ACM Computing Surveys, v. 55
    Doi: 10.1145/3556538
  • Zhou, L., Caines, A., Pete, I. and Hutchings, A., 2023. Automated hate speech detection and span extraction in underground hacking and extremist forums Natural Language Engineering, v. 29
    Doi: 10.1017/S1351324922000262
  • Goodman, JR., Caines, A. and Foley, RA., 2023. Shibboleth: An agent-based model of signalling mimicry. PLoS One, v. 18
    Doi: http://doi.org/10.1371/journal.pone.0289333
  • Goriely, Z., Caines, A. and Buttery, P., 2023. Word segmentation from transcriptions of child-directed speech using lexical and sub-lexical cues. J Child Lang,
    Doi: http://doi.org/10.1017/S0305000923000491
  • 2021

  • Katushemererwe, F., Caines, A. and Buttery, P., 2021. Building natural language processing tools for Runyakitara Applied Linguistics Review, v. 12
    Doi: http://doi.org/10.1515/applirev-2020-2004
  • 2019

  • Caines, A., Altmann-Richer, E. and Buttery, P., 2019. The cross-linguistic performance of word segmentation models over time. J Child Lang, v. 46
    Doi: http://doi.org/10.1017/S0305000919000485
  • 2018

  • Caines, A., Pastrana, S., Hutchings, A. and Buttery, PJ., 2018. Automatically identifying the function and intent of posts in underground forums Crime Science, v. 7
    Doi: http://doi.org/10.1186/s40163-018-0094-4
  • Conference proceedings

    2023

  • Caines, A., Benedetto, L., Taslimipoor, S., Davis, C., Gao, Y., Andersen, Ø., Yuan, Z., Elliott, M., Moore, R., Bryant, C., Rei, M., Yannakoudakis, H., Mullooly, A., Nicholls, D. and Buttery, P., 2023. On the application of Large Language Models for language teaching and assessment technology CEUR Workshop Proceedings, v. 3487
  • 2022

  • Wambsganss, T., Caines, A. and Buttery, P., 2022. ALEN App: Persuasive Writing Support To Foster English Language Learning BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings,
  • Tyen, G., Brenchley, M., Caines, A. and Buttery, P., 2022. Towards an open-domain chatbot for language practice BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings,
  • Rietsche, R., Caines, A., Schramm, C., Pfütze, D. and Buttery, P., 2022. The Specificity and Helpfulness of Peer-to-Peer Feedback in Higher Education BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings,
  • Pete, I., Hughes, J., Caines, A., Vu, AV., Gupta, H., Hutchings, A., Anderson, R. and Buttery, P., 2022. PostCog: A tool for interdisciplinary research into underground forums at scale Proceedings - 7th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2022,
    Doi: http://doi.org/10.1109/EuroSPW55150.2022.00016
  • Davis, C., Bryant, C., Caines, A., Rei, M. and Buttery, P., 2022. Probing for targeted syntactic knowledge through grammatical error detection CoNLL 2022 - 26th Conference on Computational Natural Language Learning, Proceedings of the Conference,
  • Chua, H., Caines, A. and Yannakoudakis, H., 2022. A unified framework for cross-domain and cross-task learning of mental health conditions NLP4PI 2022 - 2nd Workshop on NLP for Positive Impact, Proceedings of the Workshop,
  • 2020

  • Zaidi, A., Caines, A., Moore, R., Buttery, P. and Rice, A., 2020. Adaptive Forgetting Curves for Spaced Repetition Language Learning Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 12164 LNAI
    Doi: http://doi.org/10.1007/978-3-030-52240-7_65
  • Craighead, H., Caines, A., Buttery, P. and Yannakoudakis, H., 2020. Investigating the effect of auxiliary objectives for the automated grading of learner english speech transcriptions Proceedings of the Annual Meeting of the Association for Computational Linguistics,
  • Hughes, J., Aycock, S., Caines, A., Buttery, P. and Hutchings, A., 2020. Detecting Trending Terms in Cybersecurity Forum Discussions Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020),
    Doi: 10.18653/v1/2020.wnut-1.15
  • Caines, A., Bentz, C., Knill, K., Rei, M. and Buttery, P., 2020. Grammatical error detection in transcriptions of spoken English COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference,
  • Caines, A. and Buttery, P., 2020. REPROLANG 2020: Automatic proficiency scoring of Czech, English, German, Italian, and Spanish learner essays LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings,
  • MacSween, R., Caines, A. and Buttery, P., 2020. An Expectation Maximisation Algorithm for Automated Cognate Detection CoNLL 2020 - 24th Conference on Computational Natural Language Learning, Proceedings of the Conference,
  • 2019

  • Baur, C., Caines, A., Chua, C., Gerlach, J., Qian, M., Rayner, M., Russell, M., Strik, H. and Wei, X., 2019. Overview of the 2019 Spoken CALL Shared Task 8th ISCA Workshop on Speech and Language Technology in Education, SLaTE 19,
    Doi: http://doi.org/10.21437/SLaTE.2019-1
  • Knill, K., Gales, M., Manakul, P. and Caines, A., 2019. Automatic grammatical error detection of non-native spoken learner English ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    Doi: 10.1109/icassp.2019.8683755
  • Aglionby, G., Davis, C., Mishra, P., Caines, A., Yannakoudakis, H., Rei, M., Shutova, E. and Buttery, P., 2019. CAMsterdam at SemEval-2019 task 6: Neural and graph-based feature extraction for the identification of offensive tweets NAACL HLT 2019 - International Workshop on Semantic Evaluation, SemEval 2019, Proceedings of the 13th Workshop,
  • Moore, R., Caines, A., Rice, A. and Buttery, P., 2019. Behavioural cloning of teachers for automatic homework selection Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11625 LNAI
    Doi: http://doi.org/10.1007/978-3-030-23204-7_28
  • Knill, KM., Gales, MJF., Manakul, PP. and Caines, AP., 2019. Automatic Grammatical Error Detection of Non-native Spoken Learner English ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 2019-May
    Doi: 10.1109/ICASSP.2019.8683080
  • Moore, R., Caines, A., Elliott, M., Zaidi, A., Rice, A. and Buttery, P., 2019. Skills embeddings: A neural approach to multicomponent representations of students and tasks EDM 2019 - Proceedings of the 12th International Conference on Educational Data Mining,
  • Zaidi, AH., Caines, A., Davis, C., Moore, R., Buttery, P. and Rice, A., 2019. Accurate modelling of language learning tasks and students using representations of grammatical proficiency EDM 2019 - Proceedings of the 12th International Conference on Educational Data Mining,
  • 2018

  • Caines, A., Pastrana, S., Hutchings, A. and Buttery, P., 2018. Aggressive language in an online hacking forum 2nd Workshop on Abusive Language Online - Proceedings of the Workshop, co-located with EMNLP 2018,
  • Pastrana, S., Hutchings, A., Caines, A. and Buttery, P., 2018. Characterizing eve: Analysing cybercrime actors in a large underground forum Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11050 LNCS
    Doi: http://doi.org/10.1007/978-3-030-00470-5_10
  • Knill, KM., Gales, MJF., Kyriakopoulos, K., Malinin, A., Ragni, A., Wang, Y. and Caines, AP., 2018. Impact of ASR performance on free speaking language assessment Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2018-September
    Doi: http://doi.org/10.21437/Interspeech.2018-1312
  • Baur, C., Caines, A., Chua, C., Gerlach, J., Qian, M., Rayner, M., Russell, M., Strik, H. and Wei, X., 2018. Overview of the 2018 spoken call shared task Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2018-September
    Doi: http://doi.org/10.21437/Interspeech.2018-97
  • 2017

  • Caines, A., 2017. Spoken CALL Shared Task system description 7th ISCA Workshop on Speech and Language Technology in Education, SLaTE 2017,
    Doi: http://doi.org/10.21437/SLaTE.2017-14
  • Flint, E., Ford, E., Thomas, O., Caines, A. and Buttery, P., 2017. A Text Normalisation System for Non-Standard English Words 3rd Workshop on Noisy User-Generated Text, W-NUT 2017 - Proceedings of the Workshop,
  • Caines, A., Flint, E. and Buttery, P., 2017. Collecting fluency corrections for spoken learner english EMNLP 2017 - 12th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2017 - Proceedings of the Workshop,
  • Caines, A., McCarthy, M. and Buttery, P., 2017. Parsing transcripts of speech EMNLP 2017 - 1st Workshop on Speech-Centric Natural Language Processing, SCNLP 2017 - Proceedings of the Workshop,
  • 2016

  • Moore, R., Caines, A., Graham, C. and Buttery, P., 2016. Automated speech-unit delimitation in spoken learner English COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers,
  • Caines, A., Bentz, C., Graham, C., Polzehl, T. and Buttery, P., 2016. Crowdsourcing a multilingual speech corpus: Recording, transcription and annotation of the CROWDED corpus Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016,
  • Zhang, W., Caines, A., Alikaniotis, D. and Buttery, P., 2016. Predicting author age from Weibo microblog posts Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016,
  • Caines, A., Bentz, C., Alikaniotis, D., Katushemererwe, F. and Buttery, P., 2016. The Glottolog Data Explorer: Mapping the world’s languages Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16). Workshop proceedings,
  • 2015

  • Moore, R., Caines, A., Graham, C. and Buttery, P., 2015. Incremental dependency parsing and disfluency detection in spoken learner English Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 9302
    Doi: http://doi.org/10.1007/978-3-319-24033-6_53
  • 2014

  • Caines, A. and Buttery, P., 2014. The effect of disfluencies and learner errors on the parsing of spoken learner language Proceedings of the First Joint Workshop on Statistical Parsing of Morphologically Rich Languages and Syntactic Analysis of Non-Canonical Languages SPMRL-SANCL 2014), Co-located with COLING,
  • 2012

  • Buttery, P. and Caines, A., 2012. Reclassifying subcategorization frames for experimental analysis and stimulus generation Proceedings of the 8th International Conference on Language Resources and Evaluation, LREC 2012,
  • Caines, A. and Buttery, P., 2012. Annotating progressive aspect constructions in the spoken section of the british national Corpus Proceedings of the 8th International Conference on Language Resources and Evaluation, LREC 2012,
  • 2010

  • Caines, A. and Buttery, P., 2010. ‘You talking to me?’ A predictive model for zero auxiliary constructions Proceedings of the Workshop on Natural Language Processing and Linguistics, Finding the Common Ground, Annual Meeting of the Association for Computational Linguistics,
  • Book chapters

    2018

  • Caines, A., McCarthy, M. and Buttery, P., 2018. 'You still talking to me?': The zero auxiliary progressive in spoken British english twenty years on
  • Caines, A. and Buttery, P., 2018. The Effect of Task and Topic on Opportunity of Use in Learner Corpora
  • 2016

  • Caines, A., McCarthy, M. and O’Keeffe, A., 2016. Spoken language corpora and pedagogical applications
    Doi: http://doi.org/10.4324/9781315657899-39
  • Caines, A., McCarthy, M. and O'Keeffe, A., 2016. Spoken language corpora and pedagogical applications
    Doi: http://doi.org/10.4324/9781315657899
  • 2012

  • Caines, A. and Buttery, P., 2012. Normalising frequency counts to account for ‘opportunity of use’ in learner corpora
  • Caines, A., 2012. ‘You talking to me?’ Testing corpus data with a shadowing experiment
  • Reports

    2017

  • Caines, AP., Nicholls, D. and Buttery, P., 2017. Annotating errors and disfluencies in transcriptions of speech

  • Read more at: Dr Helen Yannakoudakis

    Dr Helen Yannakoudakis

    Automated assessment

    Conference proceedings

    2019 (No publication date)

  • Farag, Y., Yannakoudakis, H. and Briscoe, T., 2019 (No publication date). Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input Proceedings of NAACL-HLT 2018, New Orleans, Louisiana, pages 263–271, v. Volume 1
    Doi: http://doi.org/10.18653/v1/N18-1024
  • Mishra, P., Giannakoudaki, E. and Shutova, E., 2019 (No publication date). Neural Character-based Composition Models for Abuse Detection
  • Pushkar, M., Del Tredici, M., Giannakoudaki, E. and Shutova, E., 2019 (No publication date). Author Profiling for Abuse Detection
  • Flachs, S., Lacroix, O., Rei, M., Giannakoudaki, E. and Søgaard, A., 2019 (No publication date). A Simple and Robust Approach to Detecting Subject-Verb Agreement Errors.
  • 2019 (Accepted for publication)

  • Mu, J., Giannakoudaki, E. and Shutova, E., 2019 (Accepted for publication). Learning Outside the Box: Discourse-level Features Improve Metaphor Identification. In Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics.,
  • 2019

  • Aglionby, G., Davis, C., Mishra, P., Caines, A., Yannakoudakis, H., Rei, M., Shutova, E. and Buttery, P., 2019. CAMsterdam at SemEval-2019 task 6: Neural and graph-based feature extraction for the identification of offensive tweets NAACL HLT 2019 - International Workshop on Semantic Evaluation, SemEval 2019, Proceedings of the 13th Workshop,
  • Mishra, P., Del Tredici, M., Giannakoudaki, E. and Shutova, E., 2019. Abusive Language Detection with Graph Convolutional Networks Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, v. 1
    Doi: http://doi.org/10.18653/v1/N19-1221
  • Farag, Y. and Giannakoudaki, E., 2019. Multi-Task Learning for Coherence Modeling. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.,
  • 2017

  • Rei, M. and Giannakoudaki, E., 2017. Auxiliary Objectives for Neural Error Detection Models
  • Giannakoudaki, E., Rei, M., Andersen, OE. and Yuan, Z., 2017. Neural Sequence-Labelling Models for Grammatical Error Correction Proceedings of the 2017 Conference on Empirical Methods in natural Language Processing, v. D17-1
    Doi: http://doi.org/10.18653/v1/D17-1297
  • Shutova, E., Wundsam, A. and Yannakoudakis, H., 2017. Semantic frames and visual scenes: Learning semantic role inventories from image and video descriptions *SEM 2017 - 6th Joint Conference on Lexical and Computational Semantics, Proceedings,
    Doi: http://doi.org/10.18653/v1/s17-1018
  • 2016

  • Alikaniotis, D., Yannakoudakis, H. and Rei, M., 2016. Automatic text scoring using neural networks 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers, v. 2
    Doi: http://doi.org/10.18653/v1/p16-1068
  • Rei, M. and Yannakoudakis, H., 2016. Compositional sequence labeling models for error detection in learner writing 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers, v. 2
  • 2014

  • Felice, M., Yuan, Z., Andersen, ØE., Yannakoudakis, H. and Kochmar, E., 2014. Grammatical error correction using hybrid systems and type filtering CoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings of the Shared Task,
    Doi: http://doi.org/10.3115/v1/w14-1702
  • Journal articles

    2018

  • Yannakoudakis, H., Andersen, ØE., Geranpayeh, A., Briscoe, T. and Nicholls, D., 2018. Developing an automated writing placement system for ESL learners Applied Measurement in Education, v. 31
    Doi: http://doi.org/10.1080/08957347.2018.1464447
  • Other publications

    2018

  • Farag, Y., Yannakoudakis, H. and Briscoe, T., 2018. Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input. CoRR, v. abs/1804.06898

  • Read more at: Professor Mark Gales

    Professor Mark Gales

    Large vocabulary continuous speech recognition; robust speaker recognition; speaker adaptation; machine learning; speaker identification and verification

    Theses / dissertations

    2022 (No publication date)

  • Kyriakopoulos, K., 2022 (No publication date). Deep Learning for Automatic Assessment and Feedback of Spoken English
    Doi: http://doi.org/10.17863/CAM.82947
  • 1995

  • Gales, MJF., 1995. Model-based techniques for noise robust speech recognition
  • Journal articles

    2022

  • Fathullah, Y. and Gales, MJF., 2022. Self-Distribution Distillation: Efficient Uncertainty Estimation
  • Ragni, A., Gales, MJF., Rose, O., Knill, KM., Kastanos, A., Li, Q. and Ness, PM., 2022. Increasing Context for Estimating Confidence Scores in Automatic Speech Recognition IEEE/ACM Transactions on Audio Speech and Language Processing, v. 30
    Doi: http://doi.org/10.1109/TASLP.2022.3161153
  • 2021

  • Dou, Q., Lu, Y., Manakul, P., Wu, X. and Gales, MJF., 2021. Attention Forcing for Machine Translation
  • Raina, V. and Gales, MJF., 2021. An Initial Investigation of Non-Native Spoken Question-Answering
  • Malinin, A., Band, N., Ganshin, , Alexander, , Chesnokov, G., Gal, Y., Gales, MJF., Noskov, A., Ploskonosov, A., Prokhorenkova, L., Provilkov, I., Raina, V., Raina, V., Roginskiy, , Denis, , Shmatova, M., Tigas, P. and Yangel, B., 2021. Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks
  • 2019

  • Chen, X., Liu, X., Wang, Y., Ragni, A., Wong, JHM. and Gales, MJF., 2019. Exploiting Future Word Contexts in Neural Network Language Models for Speech Recognition IEEE/ACM Transactions on Audio Speech and Language Processing, v. 27
    Doi: http://doi.org/10.1109/TASLP.2019.2922048
  • Wong, JHM., Gales, MJF. and Wang, Y., 2019. General sequence teacher-student learning IEEE/ACM Transactions on Audio Speech and Language Processing, v. 27
    Doi: http://doi.org/10.1109/TASLP.2019.2929859
  • Wang, L., Wang, Y. and Gales, MJF., 2019. Non-native Speaker Verification for Spoken Language Assessment
  • Dou, Q., Lu, Y., Efiong, J. and Gales, MJF., 2019. Attention Forcing for Sequence-to-sequence Model Training
  • 2018

  • Degottex, G., Lanchantin, P. and Gales, M., 2018. A Log Domain Pulse Model for Parametric Speech Synthesis IEEE/ACM Transactions on Audio, Speech, and Language Processing, v. 26
    Doi: http://doi.org/10.1109/TASLP.2017.2761546
  • Wang, Y., Gales, MJF., Knill, KM., Kyriakopoulos, K., Malinin, A., van Dalen, RC. and Rashid, M., 2018. Towards automatic assessment of spontaneous spoken English Speech Communication, v. 104
    Doi: http://doi.org/10.1016/j.specom.2018.09.002
  • 2017

  • Wu, C., Gales, M., Ragni, A., Karanasou, P. and Sim, KC., 2017. Improving Interpretability and Regularisation in Deep Learning IEEE/ACM Transactions on Audio Speech and Language Processing,
    Doi: http://doi.org/10.1109/TASLP.2017.2774919
  • Karanasou, P., Wu, C., Gales, M. and Woodland, PC., 2017. I-Vectors and Structured Neural Networks for Rapid Adaptation of Acoustic Models IEEE/ACM Transactions on Audio Speech and Language Processing, v. 25
    Doi: http://doi.org/10.1109/TASLP.2017.2670141
  • Chen, X., Liu, X., Ragni, A., Wang, Y. and Gales, MJF., 2017. Future word contexts in neural network language models 2017 IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2017 - Proceedings, v. 2018-January
    Doi: http://doi.org/10.1109/ASRU.2017.8268922
  • 2016

  • Chen, X., Liu, X., Wang, Y., Gales, MJF. and Woodland, PC., 2016. Efficient Training and Evaluation of Recurrent Neural Network Language Models for Automatic Speech Recognition IEEE/ACM Transactions on Audio Speech and Language Processing, v. 24
    Doi: 10.1109/TASLP.2016.2598304
  • Liu, X., Chen, X., Wang, Y., Gales, MJF. and Woodland, PC., 2016. Two efficient lattice rescoring methods using recurrent neural network language models IEEE/ACM Transactions on Audio Speech and Language Processing, v. 24
    Doi: http://doi.org/10.1109/TASLP.2016.2558826
  • 2015

  • Yoshioka, T. and Gales, MJF., 2015. Environmentally robust ASR front-end for deep neural network acoustic models Computer Speech and Language, v. 31
    Doi: http://doi.org/10.1016/j.csl.2014.11.008
  • Chen, L., Braunschweiler, N. and Gales, MJF., 2015. Speaker and Expression Factorization for Audiobook Data: Expressiveness and Transplantation IEEE Transactions on Audio, Speech and Language Processing, v. 23
    Doi: http://doi.org/10.1109/TASLP.2014.2385478
  • 2014

  • Wan, V., Latorre, J., Yanagisawa, K., Braunschweiler, N., Chen, L., Gales, MJF. and Akamine, M., 2014. Building HMM-TTS voices on diverse data IEEE Journal on Selected Topics in Signal Processing, v. 8
    Doi: http://doi.org/10.1109/JSTSP.2013.2295058
  • Chen, L., Gales, MJF., Braunschweiler, N., Akamine, M. and Knill, K., 2014. Integrated expression prediction and speech synthesis from text IEEE Journal on Selected Topics in Signal Processing, v. 8
    Doi: http://doi.org/10.1109/JSTSP.2013.2294938
  • Liu, X., Gales, MJF. and Woodland, PC., 2014. Paraphrastic language models Computer Speech and Language, v. 28
    Doi: http://doi.org/10.1016/j.csl.2014.04.004
  • Lanchantin, P., Gales, MJF., King, S. and Yamagishi, J., 2014. Multiple-average-voice-based speech synthesis ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2014.6853603
  • 2013

  • Liu, X., Gales, MJF. and Woodland, PC., 2013. Use of contexts in language model interpolation and adaptation Computer Speech and Language, v. 27
    Doi: http://doi.org/10.1016/j.csl.2012.06.004
  • Seigel, MS., Woodland, PC. and Gales, MJF., 2013. A confidence-based approach for improving keyword hypothesis scores ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2013.6639337
  • Liu, X., Gales, MJF. and Woodland, PC., 2013. Paraphrastic language models and combination with neural network language models ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2013.6639308
  • Mamou, J., Cui, J., Cui, X., Gales, MJF., Kingsbury, B., Knill, K., Mangu, L., Nolden, D., Picheny, M., Ramabhadran, B., Schluter, R., Sethy, A. and Woodland, PC., 2013. System combination and score normalization for spoken term detection ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2013.6639278
  • Kingsbury, B., Cui, J., Cui, X., Gales, MJF., Knill, K., Mamou, J., Mangu, L., Nolden, D., Picheny, M., Ramabhadran, B., Schluter, R., Sethy, A. and Woodland, PC., 2013. A high-performance Cantonese keyword search system ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2013.6639279
  • van Dalen, RC. and Gales, MJF., 2013. Importance sampling to compute likelihoods of noise-corrupted speech COMPUTER SPEECH AND LANGUAGE, v. 27
    Doi: http://doi.org/10.1016/j.csl.2012.06.007
  • Wang, YQ. and Gales, MJF., 2013. Tandem system adaptation using multiple linear feature transforms ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2013.6639209
  • Liu, X., Hieronymus, JL., Gales, MJF. and Woodland, PC., 2013. Syllable language models for Mandarin speech recognition: exploiting character language models. J Acoust Soc Am, v. 133
    Doi: http://doi.org/10.1121/1.4768800
  • Zhang, S-X. and Gales, MJF., 2013. Structured SVMs for Automatic Speech Recognition IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, v. 21
    Doi: http://doi.org/10.1109/TASL.2012.2227734
  • Liu, X., Gales, MJF. and Woodland, PC., 2013. Language model cross adaptation for LVCSR system combination Computer Speech and Language, v. 27
    Doi: http://doi.org/10.1016/j.csl.2012.07.010
  • Maia, R., Akamine, M. and Gales, MJF., 2013. Complex cepstrum for statistical parametric speech synthesis SPEECH COMMUNICATION, v. 55
    Doi: http://doi.org/10.1016/j.specom.2012.12.008
  • Long, Y., Gales, MJF., Lanchantin, P., Liu, X., Seigel, MS. and Woodland, PC., 2013. Improving lightly supervised training for broadcast transcription Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • Yang, J., Van Dalen, RC. and Gales, M., 2013. Infinite support vector machines in speech recognition Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • 2012

  • Wang, Y. and Gales, MJF., 2012. Speaker and Noise Factorization for Robust Speech Recognition IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, v. 20
    Doi: http://doi.org/10.1109/TASL.2012.2198059
  • Flego, F. and Gales, MJF., 2012. Factor analysis based VTS discriminative adaptive training ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2012.6288960
  • Gales, MJF., Watanabe, S. and Fosler-Lussier, E., 2012. Structured discriminative models for speech recognition: An overview IEEE Signal Processing Magazine, v. 29
    Doi: http://doi.org/10.1109/MSP.2012.2207140
  • Bell, PJ., Gales, MJF., Lanchantin, P., Liu, X., Long, Y., Renals, S., Swietojanski, P. and Woodland, PC., 2012. Transcription of multi-genre media archives using out-of-domain data 2012 IEEE Workshop on Spoken Language Technology, SLT 2012 - Proceedings,
    Doi: http://doi.org/10.1109/SLT.2012.6424244
  • Zen, H., Gales, MJF., Nankaku, Y. and Tokuda, K., 2012. Product of Experts for Statistical Parametric Speech Synthesis IEEE Transactions on Audio, Speech and Language Processing, v. 20
  • Diehl, F., Gales, MJF., Tomalin, M. and Woodland, PC., 2012. Morphological decomposition in Arabic ASR systems Computer Speech and Language,
  • Gales, MJF. and Flego, F., 2012. Model-Based Approaches for Degraded Channel Modelling in Robust ASR 13TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2012 (INTERSPEECH 2012), VOLS 1-3,
  • Diehl, F., Gales, MJF., Tomalin, M. and Woodland, PC., 2012. Morphological decomposition in Arabic ASR systems Computer Speech and Language, v. 26
    Doi: http://doi.org/10.1016/j.csl.2011.12.001
  • Liu, X., Gales, MJF. and Woodland, PC., 2012. Paraphrastic Language Models 13TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2012 (INTERSPEECH 2012), VOLS 1-3,
  • Zen, H., Braunschweiler, N., Buchholz, S., Gales, MJF., Knill, K., Krstulović, S. and Latorre, J., 2012. Statistical parametric speech synthesis based on speaker and language factorization IEEE Transactions on Audio, Speech and Language Processing, v. 20
    Doi: http://doi.org/10.1109/TASL.2012.2187195
  • 2011

  • Dieh, F., Gales, MJF., Liu, X., Tomalin, M. and Woodland, PC., 2011. Word boundary modelling and full covariance gaussians for Arabic Speech-to-Text systems Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • Breslin, C., Chin, KK., Gales, MJF. and Knill, K., 2011. Integrated online speaker clustering and adaptation Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • Liu, X., Gales, MJF. and Woodland, PC., 2011. Improving LVCSR system combination using neural network language model cross adaptation Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • Li, T., Woodland, PC., Diehl, F. and Gales, MJF., 2011. Graphone model interpolation and Arabic pronunciation generation Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • Park, J., Diehl, F., Gales, MJF., Tomalin, M. and Woodland, PC., 2011. The efficient incorporation of MLP features into automatic speech recognition systems Computer Speech and Language, v. 25
    Doi: http://doi.org/10.1016/j.csl.2010.07.005
  • Kim, D. and Gales, MJF., 2011. Noisy constrained maximum-likelihood linear regression for noise-robust speech recognition IEEE Transactions on Audio, Speech and Language Processing, v. 19
    Doi: http://doi.org/10.1109/TASL.2010.2047756
  • Van Dalen, RC. and Gales, MJF., 2011. Extended VTS for noise-robust speech recognition IEEE Transactions on Audio, Speech and Language Processing, v. 19
    Doi: http://doi.org/10.1109/TASL.2010.2061226
  • Flego, F. and Gales, MJF., 2011. Factor analysis based VTS and JUD noise estimation and compensation ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2011.5947427
  • Wang, YQ. and Gales, MJF., 2011. Speaker and noise factorisation on the AURORA4 task ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2011.5947375
  • Latorre, J., Gales, MJF., Buchholz, S., Knill, K., Tamura, M., Ohtani, Y. and Akamine, M., 2011. CONTINUOUS F0 IN THE SOURCE-EXCITATION GENERATION FOR HMM-BASED TTS: DO WE NEED VOICEDIUNVOICED CLASSIFICATION? 2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING,
  • Liu, X., Gales, MJF., Hieronymus, JL. and Woodland, PC., 2011. Investigation of acoustic units for LVCSR systems ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2011.5947447
  • Chin, KK., Xu, HT., Gales, MJF., Breslin, C. and Knill, K., 2011. RAPID JOINT SPEAKER AND NOISE COMPENSATION FOR ROBUST SPEECH RECOGNITION 2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING,
  • Chen, L., Gales, MJF. and Chin, KK., 2011. Constrained discriminative mapping transforms for unsupervised speaker adaptation ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2011.5947565
  • Ragni, A. and Gales, MJF., 2011. Structured discriminative models for noise robust continuous speech recognition ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2011.5947426
  • Zen, H. and Gales, MJF., 2011. Decision tree-based context clustering based on cross validation and hierarchical priors ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2011.5947369
  • Gales, MJF. and Wang, YQ., 2011. Model-based approaches to handling additive noise in reverberant environments 2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays, HSCMA'11,
    Doi: http://doi.org/10.1109/HSCMA.2011.5942377
  • Xu, HT., Gales, MJF. and Chin, KK., 2011. Joint Uncertainty Decoding With Predictive Methods for Noise Robust Speech Recognition IEEE T AUDIO SPEECH, v. 19
    Doi: http://doi.org/10.1109/TASL.2010.2096214
  • Van Dalen, RC. and Gales, MJF., 2011. A variational perspective on noise-robust speech recognition 2011 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2011, Proceedings,
    Doi: http://doi.org/10.1109/ASRU.2011.6163917
  • Wang, YQ. and Gales, MJF., 2011. Improving reverberant VTS for hands-free robust speech recognition 2011 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2011, Proceedings,
    Doi: http://doi.org/10.1109/ASRU.2011.6163915
  • Ragni, A. and Gales, MJF., 2011. Derivative kernels for noise robust ASR 2011 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2011, Proceedings,
    Doi: http://doi.org/10.1109/ASRU.2011.6163916
  • Zhang, SX. and Gales, MJF., 2011. Extending noise robust structured support vector machines to larger vocabulary tasks 2011 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2011, Proceedings,
    Doi: http://doi.org/10.1109/ASRU.2011.6163898
  • 2010

  • Yu, K., Gales, M., Wang, L. and Woodland, PC., 2010. Unsupervised training and directed manual transcription for LVCSR SPEECH COMMUN, v. 52
    Doi: http://doi.org/10.1016/j.specom.2010.02.014
  • Zhang, SX., Ragni, A. and Gales, MJF., 2010. Structured Log Linear Models for Noise Robust Speech Recognition IEEE SIGNAL PROC LET, v. 17
    Doi: http://doi.org/10.1109/LSP.2010.2077626
  • Gales, MJF. and Flego, F., 2010. Discriminative classifiers with adaptive kernels for noise robust speech recognition Computer Speech and Language, v. 24
    Doi: http://doi.org/10.1016/j.csl.2009.09.002
  • Yu, K., Gales, MJF., Wang, L. and Woodland, PC., 2010. Unsupervised training and directed manual transcription for LVCSR Speech Communication, v. 52
    Doi: http://doi.org/10.1016/j.specom.2010.02.014
  • Liu, X., Gales, MJF., Hieronymus, JL. and Woodland, PC., 2010. Language model combination and adaptation using weighted finite state transducers ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2010.5494941
  • 2009

  • Longworth, C. and Gales, MJF., 2009. Combining derivative and parametric kernels for speaker verification IEEE Transactions on Audio Speech and Language Processing, v. 17
    Doi: http://doi.org/10.1109/TASL.2008.2012193
  • Yu, K., Gales, MJF. and Woodland, PC., 2009. Unsupervised adaptation with discriminative mapping transforms IEEE Transactions on Audio Speech and Language Processing, v. 17
    Doi: http://doi.org/10.1109/TASL.2008.2011535
  • Breslin, C. and Gales, MJF., 2009. Directed decision trees for generating complementary systems Speech Communication, v. 51
    Doi: http://doi.org/10.1016/j.specom.2008.09.004
  • Hieronymus, JL., Liu, X., Gales, MJF. and Woodland, PC., 2009. Exploiting Chinese character models to improve speech recognition performance Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • 2008

  • Liao, H. and Gales, MJF., 2008. Issues with uncertainty decoding for noise robust automatic speech recognition Speech Communication, v. 50
    Doi: http://doi.org/10.1016/j.specom.2007.10.004
  • 2007

  • Sim, KC. and Gales, MJF., 2007. Discriminative semi-parametric trajectory models for speech recognition Computer Speech and Language, v. 21
    Doi: http://doi.org/10.1016/j.csl.2007.03.004
  • Layton, M. and Gales, MJF., 2007. Acoustic modelling using continuous rational kernels Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, v. 48
    Doi: http://doi.org/10.1007/s11265-006-0027-4
  • Yu, K. and Gales, MJF., 2007. Bayesian adaptive inference and adaptive training IEEE Transactions on Audio Speech and Language Processing, v. 15
    Doi: http://doi.org/10.1109/TASL.2007.901300
  • Gales, MJF. and Young, SJ., 2007. The application of hidden Markov models in speech recognition Foundations and Trends in Signal Processing, v. 1
    Doi: http://doi.org/10.1561/20000000004
  • Liu, X. and Gales, MJF., 2007. Automatic model complexity control using marginalized discriminative growth functions IEEE Transactions on Audio Speech and Language Processing, v. 15
    Doi: http://doi.org/10.1109/TASL.2006.889804
  • Liu, X. and Gales, M., 2007. Automatic model complexity control using marginalized discriminative growth functions IEEE Transactions on Audio, Speech and Language Processing, v. 15
    Doi: http://doi.org/10.1109/TASL.2006.889804
  • Tomalin, M., Gales, MJF., Liu, XA., Sim, KC., Sinha, R., Wang, L., Woodland, PC. and Yu, K., 2007. Improving speech transcription for Mandarin-english translation ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 4
    Doi: http://doi.org/10.1109/ICASSP.2007.367172
  • 2006

  • Hain, T., Woodland, PC., Evermann, G., Gales, MJF., Liu, X., Moore, GL., Povey, D. and Wang, L., 2006. Corrections to “Automatic transcription of conversational telephone speech” IEEE Transactions on Audio, Speech and Language Processing, v. 14
    Doi: http://doi.org/10.1109/TASL.2006.871051
  • Yu, K. and Gales, MJF., 2006. Discriminative cluster adaptive training IEEE Transactions on Audio Speech and Language Processing, v. 14
    Doi: http://doi.org/10.1109/TSA.2005.858555
  • Sim, KC. and Gales, MJF., 2006. Minimum phone error training of precision matrix models IEEE Transactions on Audio Speech and Language Processing, v. 14
    Doi: http://doi.org/10.1109/TSA.2005.858062
  • Gales, MJF. and Layton, MI., 2006. Training augmented models using SVMs IEICE Transactions on Information and Systems, v. E89-D
    Doi: http://doi.org/10.1093/ietisy/e89-d.3.892
  • Gales, MJF. and Airey, SS., 2006. Product of Gaussians for speech recognition Computer Speech and Language, v. 20
    Doi: http://doi.org/10.1016/j.csl.2004.12.002
  • Sinha, R., Gales, MJF., Kim, DY., Liu, XA., Sim, KC. and Woodland, PC., 2006. The CU-HTK Mandarin broadcast news transcription system ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 1
  • Gales, MJF., Kim, DY., Woodland, PC., Chan, HY., Mrva, D., Sinha, R. and Tranter, SE., 2006. Progress in the CU-HTK broadcast news transcription system IEEE Transactions on Speech and Audio Processing, v. 14
    Doi: http://doi.org/10.1109/TASL.2006.878264
  • 2005

  • Hain, T., Woodland, PC., Evermann, G., Gales, MJF., Liu, X., Moore, GL., Povey, D. and Wang, L., 2005. Automatic transcription of conversational telephone speech IEEE Transactions on Speech and Audio Processing, v. 13
    Doi: http://doi.org/10.1109/TSA.2005.852999
  • Hain, T., Woodland, PC., Evermann, G., Gales, MJF., Liu, X., Moore, GL., Povey, D. and Wang, L., 2005. Automatic transcription of conversational telephone speech IEEE Transactions on Speech and Audio Processing, v. 13
    Doi: http://doi.org/10.1109/TSA.2005.852999
  • Sinha, R., Tranter, SE., Gales, MJF. and Woodland, PC., 2005. The Cambridge University March 2005 Speaker Diarisation System Interspeech: 9th European Conference on Speech Communciation and Technology,
  • 2004

  • Rosti, AVI. and Gales, MJF., 2004. Factor analysed hidden Markov models for speech recognition Computer Speech and Language, v. 18
    Doi: http://doi.org/10.1016/j.csl.2003.09.004
  • 2003

  • Povey, D., Gales, MJF., Kim, DY. and Woodland, PC., 2003. MMI-MAP and MPE-MAP for acoustic model adaptation Eurospeech Proceedings: 8th Speech Communication and Technology Conference, v. 8
  • 2002

  • Chen, SS., Eide, EM., Gales, MJF., Gopinath, RA., Kanevsky, D. and Olsen, P., 2002. Automatic transcription of broadcast news Speech communication, v. 37
    Doi: http://doi.org/10.1016/S0167-6393(01)00060-7
  • Gales, MJF., 2002. Transformation streams and the HMM error model Computer Speech and Language, v. 16
    Doi: http://doi.org/10.1006/csla.2002.0193
  • Gales, MJF., 2002. Maximum likelihood multiple subspace projections for hidden markov models IEEE transactions on Speech and Audio Processing, v. 10
    Doi: http://doi.org/10.1109/89.985541
  • Gales, MJF., 2002. Transformation streams and the HMM error model COMPUT SPEECH LANG, v. 16
    Doi: http://doi.org/10.1006/csla.2002.193
  • 2000

  • Gales, MJF., 2000. Factored semi-tied covariance matrices Advances In Neural Information Processing Systems,
  • Gales, MJF., 2000. Factored semi-tied covariance matrices Advances In Neural Information Processing Systems,
  • Gales, MJF., 2000. Cluster adaptive training of hidden markov models IEEE Transactions on Speech and Audio Processing, v. 8
    Doi: http://doi.org/10.1109/89.848223
  • 1999

  • Gales, MJF., 1999. Semi-tied covariance matrices for hidden markov models IEEE Transactions on Speech and Audio Processing, v. 7
    Doi: http://doi.org/10.1109/89.759034
  • Gales, MJF., Knill, K. and Young, SJ., 1999. State-based Gaussian selection in large vocabulary continuous speech recognition using HMMs IEEE Transactions on Speech and Audio Processing, v. 7
    Doi: 10.1109/89.748120
  • 1998

  • Gales, MJF., 1998. Predictive model-based compensation schemes for robust speech recognition Speech Communication, v. 25
    Doi: http://doi.org/10.1016/S0167-6393(98)00029-6
  • Gales, MJF., 1998. Maximum likelihood linear transformations for HMM-based speech recognition Computer Speech and Language, v. 12
    Doi: http://doi.org/10.1006/csla.1998.0043
  • 1997

  • Gales, MJF., 1997. Predictive model-based compensation schemes for robust speech recognition Speech Communication, v. 25
  • 1996

  • Gales, MJF. and Woodland, PC., 1996. Mean and variance adaptation within the MLLR framework Computer Speech and Language, v. 10
    Doi: http://doi.org/10.1006/csla.1996.0013
  • Gales, MJF. and Young, SJ., 1996. Robust continuous speech recognition using parallel model combination IEEE Proceedings on Speech and Audio Processing, v. 4
    Doi: http://doi.org/10.1109/89.536929
  • 1995

  • Gales, MJF. and Young, SJ., 1995. Robust speech recognition in additive and convolutional noise using parallel model combination Computer Speech and Language, v. 9
    Doi: http://doi.org/10.1006/csla.1995.0014
  • Woodland, PC., Gales, MJF., Pye, D. and Valtchev, V., 1995. Large vocabulary multilingual speech recognition using HTK Eurospeech Proceedings: 4th European Conference on Speech Communication and Technology, v. 1
  • 1993

  • GALES, MJF. and YOUNG, SJ., 1993. CEPSTRAL PARAMETER COMPENSATION FOR HMM RECOGNITION IN NOISE SPEECH COMMUN, v. 12
  • Conference proceedings

    2021 (Accepted for publication)

  • Gales, M., Malinin, A. and Ryabinin, M., 2021 (Accepted for publication). Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets
    Doi: http://doi.org/10.17863/CAM.78106
  • Gales, M. and Malinin, A., 2021 (Accepted for publication). UNCERTAINTY ESTIMATION IN AUTOREGRESSIVE STRUCTURED PREDICTION
    Doi: http://doi.org/10.17863/CAM.63497
  • 2021

  • Lu, Y., Wang, Y. and Gales, MJF., 2021. Efficient use of end-to-end data in spoken language processing ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 2021-June
    Doi: http://doi.org/10.1109/ICASSP39728.2021.9414510
  • Dou, Q., Wu, X., Wan, M., Lu, Y. and Gales, MJF., 2021. Deliberation-based multi-pass speech synthesis Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 5
    Doi: http://doi.org/10.21437/Interspeech.2021-1405
  • Manakul, P. and Gales, MJF., 2021. Long-span summarization via local attention and content selection ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference,
  • Manakul, P. and Gales, MJF., 2021. Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings,
  • Wei, X., Gales, MJF. and Knill, KM., 2021. Analysing bias in spoken language assessment using concept activation vectors ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 2021-June
    Doi: http://doi.org/10.1109/ICASSP39728.2021.9413988
  • Fathullah, Y., Gales, MJF. and Malinin, A., 2021. Ensemble distillation approaches for grammatical error correction ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 2021-June
    Doi: http://doi.org/10.1109/ICASSP39728.2021.9413385
  • 2020

  • Raina, V., Gales, MJF. and Knill, K., 2020. Complementary systems for Off-Topic spoken response detection Proceedings of the Annual Meeting of the Association for Computational Linguistics,
  • Manakul, P., Gales, MJF. and Wang, L., 2020. Abstractive spoken document summarization using hierarchical model with multi-stage attention diversity optimization Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2020-October
    Doi: http://doi.org/10.21437/Interspeech.2020-1683
  • Lu, Y., Gales, MJF. and Wang, Y., 2020. Spoken language 'grammatical error correction' Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2020-October
    Doi: http://doi.org/10.21437/Interspeech.2020-1852
  • Knill, KM., Wang, L., Wang, Y., Wu, X. and Gales, MJF., 2020. Non-native children's automatic speech recognition: The INTERSPEECH 2020 shared task ALTA systems Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2020-October
    Doi: http://doi.org/10.21437/Interspeech.2020-2154
  • Wu, X., Knill, KM., Gales, MJF. and Malinin, A., 2020. Ensemble approaches for uncertainty in spoken language assessment Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2020-October
    Doi: http://doi.org/10.21437/Interspeech.2020-2238
  • Kastanos, A., Ragni, A. and Gales, MJF., 2020. Confidence Estimation for Black Box Automatic Speech Recognition Systems Using Lattice Recurrent Neural Networks ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 2020-May
    Doi: http://doi.org/10.1109/ICASSP40776.2020.9053264
  • Raina, V., Gales, MJF. and Knill, K., 2020. Universal adversarial attacks on spoken language assessment systems Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2020-October
    Doi: 10.21437/Interspeech.2020-1890
  • Kyriakopoulos, K., Knill, KM. and Gales, MJF., 2020. Automatic detection of accent and lexical pronunciation errors in spontaneous non-native English speech Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2020-October
    Doi: 10.21437/Interspeech.2020-2881
  • Dou, Q., Efiong, J. and Gales, MJF., 2020. Attention forcing for speech synthesis Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2020-October
    Doi: http://doi.org/10.21437/Interspeech.2020-2520
  • 2019 (Accepted for publication)

  • Gales, M. and Malinin, A., 2019 (Accepted for publication). Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness Advances in Neural Information Processing Systems 32 (NeurIPS 2019),
  • Li, Q., Ness, P., Ragni, A. and Gales, M., 2019 (Accepted for publication). BI-DIRECTIONAL LATTICE RECURRENT NEURAL NETWORKS FOR CONFIDENCE ESTIMATION
    Doi: http://doi.org/10.17863/CAM.36745
  • Lu, Y., Gales, M., Knill, K., Manakul, P. and Wang, Y., 2019 (Accepted for publication). Disfluency Detection for Spoken Learner English
    Doi: http://doi.org/10.17863/CAM.42082
  • Gales, M., Malinin, A. and Mlodozeniec, B., 2019 (Accepted for publication). Ensemble Distribution Distillation
    Doi: http://doi.org/10.17863/CAM.49348
  • 2019

  • Lu, Y., Gales, MJF., Knill, KM., Manakul, P., Wang, L. and Wang, Y., 2019. Impact of ASR performance on spoken grammatical error detection Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2019-September
    Doi: http://doi.org/10.21437/Interspeech.2019-1706
  • Knill, KM., Gales, MJF., Manakul, PP. and Caines, AP., 2019. Automatic Grammatical Error Detection of Non-native Spoken Learner English ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 2019-May
    Doi: 10.1109/ICASSP.2019.8683080
  • Knill, K., Gales, M., Manakul, P. and Caines, A., 2019. Automatic grammatical error detection of non-native spoken learner English ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    Doi: 10.1109/icassp.2019.8683755
  • Kyriakopoulos, K., Knill, KM. and Gales, MJF., 2019. A deep learning approach to automatic characterisation of rhythm in non-native English speech Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2019-September
    Doi: http://doi.org/10.21437/Interspeech.2019-3186
  • Wong, JHM., Gales, MJF. and Wang, Y., 2019. Learning between Different Teacher and Student Models in ASR 2019 IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2019 - Proceedings,
    Doi: http://doi.org/10.1109/ASRU46091.2019.9003756
  • 2018

  • Wang, Y., Chen, X., Gales, MJF., Ragni, A. and Wong, JHM., 2018. Phonetic and graphemic systems for multi-genre broadcast transcription ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 2018-April
    Doi: http://doi.org/10.1109/ICASSP.2018.8462353
  • Kyriakopoulos, K., Knill, KM. and Gales, MJF., 2018. A deep learning approach to assessing non-native pronunciation of English using phone distances Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2018-September
    Doi: http://doi.org/10.21437/Interspeech.2018-1087
  • Knill, KM., Gales, MJF., Kyriakopoulos, K., Malinin, A., Ragni, A., Wang, Y. and Caines, AP., 2018. Impact of ASR performance on free speaking language assessment Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2018-September
    Doi: http://doi.org/10.21437/Interspeech.2018-1312
  • Wan, M., Degottex, G. and Gales, MJF., 2018. Waveform-based speaker representations for speech synthesis Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2018-September
    Doi: http://doi.org/10.21437/Interspeech.2018-1154
  • Degottex, G. and Gales, M., 2018. A Spectrally Weighted Mixture of Least Square Error and Wasserstein Discriminator Loss for Generative SPSS 2018 IEEE Spoken Language Technology Workshop (SLT),
    Doi: 10.1109/slt.2018.8639609
  • Wang, Y., Zhang, C., Gales, MJF. and Woodland, PC., 2018. Speaker adaptation and adaptive training for jointly optimised tandem systems Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2018-September
    Doi: http://doi.org/10.21437/Interspeech.2018-2432
  • Wang, Y., Wong, JHM., Gales, MJF., Knill, KM. and Ragni, A., 2018. Sequence Teacher-Student Training of Acoustic Models for Automatic Free Speaking Language Assessment 2018 IEEE Spoken Language Technology Workshop, SLT 2018 - Proceedings,
    Doi: 10.1109/SLT.2018.8639557
  • Ragni, A., Li, Q., Gales, MJF. and Wang, Y., 2018. Confidence Estimation and Deletion Prediction Using Bidirectional Recurrent Neural Networks 2018 IEEE Spoken Language Technology Workshop, SLT 2018 - Proceedings,
    Doi: 10.1109/SLT.2018.8639678
  • Malinin, A. and Gales, M., 2018. Predictive Uncertainty Estimation via Prior Networks NIPS'18: Proceedings of the 32nd International Conference on Neural Information Processing Systems, v. 31
  • Ragni, A. and Gales, MJF., 2018. Automatic speech recognition system development in the “wild“ Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2018-September
    Doi: http://doi.org/10.21437/Interspeech.2018-1085
  • Chen, O., Ragni, A., Gales, MJF. and Chen, X., 2018. Active memory networks for language modeling Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2018-September
    Doi: http://doi.org/10.21437/Interspeech.2018-78
  • Dou, Q., Wan, M., Degottex, G., Ma, Z. and Gales, MJF., 2018. Hierarchical RNNs for Waveform-Level Speech Synthesis 2018 IEEE Spoken Language Technology Workshop, SLT 2018 - Proceedings,
    Doi: 10.1109/SLT.2018.8639588
  • Del Vecchio, M., Malinin, A. and Gales, MJF., 2018. Improved Auto-Marking Confidence for Spoken Language Assessment 2018 IEEE Spoken Language Technology Workshop, SLT 2018 - Proceedings,
    Doi: 10.1109/SLT.2018.8639634
  • 2017 (Accepted for publication)

  • Kyriakopoulos, K., Gales, M. and Knill, K., 2017 (Accepted for publication). Automatic characterisation of the pronunciation of non-native English speakers using phone distance features http://www.isca-speech.org/archive/SLaTE_2017/,
    Doi: http://doi.org/10.21437/SLaTE.2017-11
  • Malinin, A., Knill, K., Ragni, A., Wang, Y. and Gales, M., 2017 (Accepted for publication). An attention based model for off-topic spontaneous spoken response detection: An Initial Study http://www.isca-speech.org/archive/SLaTE_2017/,
    Doi: http://doi.org/10.21437/SLaTE.2017-25
  • Wong, JHM. and Gales, MJF., 2017 (Accepted for publication). Student-teacher training with diverse decision tree ensembles
  • 2017

  • Knill, KM., Gales, MJF., Kyriakopoulos, K., Ragni, A. and Wang, Y., 2017. Use of graphemic lexicons for spoken language assessment Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2017-August
    Doi: 10.21437/Interspeech.2017-978
  • Chen, X., Ragni, A., Liu, X. and Gales, MJF., 2017. Investigating bidirectional recurrent neural network language models for speech recognition Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2017-August
    Doi: http://doi.org/10.21437/Interspeech.2017-513
  • Wu, C. and Gales, MJF., 2017. Deep activation mixture model for speech recognition Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2017-August
    Doi: http://doi.org/10.21437/Interspeech.2017-1233
  • Malinin, A., Knill, K. and Gales, MJF., 2017. A hierarchical attention based model for off-topic spontaneous spoken response detection 2017 IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2017 - Proceedings, v. 2018-January
    Doi: 10.1109/ASRU.2017.8268963
  • Chen, X., Ragni, A., Liu, X. and Gales, MJF., 2017. Investigating Bidirectional Recurrent Neural Network Language Models for Speech Recognition 18TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2017), VOLS 1-6,
    Doi: http://doi.org/10.21437/Interapeech.2017-513
  • Wan, M., Degottex, G., Gales, MJF. and IEEE, , 2017. Integrated speaker-adaptive speech synthesis 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU),
    Doi: http://doi.org/10.1109/ASRU.2017.8269006
  • Wong, JHM. and Gales, MJF., 2017. Multi-task ensembles with teacher-student training 2017 IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2017 - Proceedings, v. 2018-January
    Doi: http://doi.org/10.1109/ASRU.2017.8268920
  • Malinin, A., Ragni, A., Knill, KM. and Gales, MJF., 2017. Incorporating uncertainty into deep learning for spoken language assessment ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers), v. 2
    Doi: http://doi.org/10.18653/v1/P17-2008
  • Chen, X., Ragni, A., Vasilakes, J., Liu, X., Knill, K. and Gales, MJF., 2017. Recurrent neural network language models for keyword search ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2017.7953263
  • Ragni, A., Wu, C., Gales, MJF., Vasilakes, J. and Knill, KM., 2017. Stimulated training for automatic speech recognition and keyword search in limited resource conditions ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: 10.1109/ICASSP.2017.7953074
  • Ragni, A., Saunders, D., Zahemszky, P., Vasilakes, J., Gales, MJF. and Knill, KM., 2017. Morph-to-word transduction for accurate and efficient automatic speech recognition and keyword search ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: 10.1109/ICASSP.2017.7953262
  • Gales, MJF., Knill, KM. and Ragni, A., 2017. Low-resource speech recognition and keyword-spotting Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 10458 LNAI
    Doi: 10.1007/978-3-319-66429-3_1
  • 2016

  • Ragni, A., Dakin, E., Chen, X., Gales, MJF. and Knill, KM., 2016. Multi-language neural network language models Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 08-12-September-2016
    Doi: http://doi.org/10.21437/Interspeech.2016-371
  • Yang, J., Ragni, A., Gales, MJF. and Knill, KM., 2016. Log-linear system combination using structured support vector machines Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 08-12-September-2016
    Doi: http://doi.org/10.21437/Interspeech.2016-377
  • Malinin, A., Van Dalen, RC., Wang, Y., Knill, KM. and Gales, MJF., 2016. Off-topic response detection for spontaneous spoken English assessment 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers, v. 2
    Doi: http://doi.org/10.18653/v1/p16-1102
  • Lanchantin, P., Gales, MJF., Karanasou, P., Liu, X., Qian, Y., Wang, L., Woodland, PC. and Zhang, C., 2016. Selection of multi-genre broadcast data for the training of automatic speech recognition systems Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 08-12-September-2016
    Doi: http://doi.org/10.21437/Interspeech.2016-462
  • Wu, C., Karanasou, P., Gales, MJF. and Sim, KC., 2016. Stimulated deep neural network for speech recognition Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 08-12-September-2016
    Doi: http://doi.org/10.21437/Interspeech.2016-580
  • Wong, JHM. and Gales, MJF., 2016. Sequence student-teacher training of deep neural networks Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 08-12-September-2016
    Doi: http://doi.org/10.21437/Interspeech.2016-911
  • Bell, P., Gales, MJF., Hain, T., Kilgour, J., Lanchantin, P., Liu, X., McParland, A., Renals, S., Saz, O., Wester, M. and Woodland, PC., 2016. The MGB challenge: Evaluating multi-genre broadcast media recognition 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2015 - Proceedings,
    Doi: http://doi.org/10.1109/ASRU.2015.7404863
  • Chen, X., Liu, X., Gales, MJF. and Woodland, PC., 2016. Investigation of back-off based interpolation between recurrent neural network and n-gram language models 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2015 - Proceedings,
    Doi: http://doi.org/10.1109/ASRU.2015.7404792
  • Lanchantin, P., Gales, MJF., Karanasou, P., Liu, X., Qian, Y., Wang, L., Woodland, PC. and Zhang, C., 2016. The development of the Cambridge university alignment systems for the multi-genre broadcast challenge 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2015 - Proceedings,
    Doi: http://doi.org/10.1109/ASRU.2015.7404857
  • Woodland, PC., Liu, X., Qian, Y., Zhang, C., Gales, MJF., Karanasou, P., Lanchantin, P. and Wang, L., 2016. Cambridge university transcription systems for the multi-genre broadcast challenge 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2015 - Proceedings,
    Doi: http://doi.org/10.1109/ASRU.2015.7404856
  • Cui, J., Kingsbury, B., Ramabhadran, B., Sethy, A., Audhkhasi, K., Cui, X., Kislal, E., Mangu, L., Nussbaum-Thom, M., Picheny, M., Tüske, Z., Golik, P., Schluter, R., Ney, H., Gales, MJF., Knill, KM., Ragni, A., Wang, H. and Woodland, P., 2016. Multilingual representations for low resource speech recognition and keyword search 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2015 - Proceedings,
    Doi: 10.1109/ASRU.2015.7404803
  • Degottex, G., Lanchantin, P. and Gales, M., 2016. A Pulse Model in Log-domain for a Uniform Synthesizer Proceedings of the 9th ISCA Speech Synthesis Workshop,
  • Karanasou, P., Gales, MJF., Lanchantin, P., Liu, X., Qian, Y., Wang, L., Woodland, PC. and Zhang, C., 2016. Speaker diarisation and longitudinal linking in multi-genre broadcast data 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2015 - Proceedings,
    Doi: http://doi.org/10.1109/ASRU.2015.7404859
  • Van Dalen, RC., Yang, J., Wang, H., Ragni, A., Zhang, C. and Gales, MJF., 2016. Structured discriminative models using deep neural-network features 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2015 - Proceedings,
    Doi: http://doi.org/10.1109/ASRU.2015.7404789
  • Wang, L., Zhang, C., Woodland, PC., Gales, MJF., Karanasou, P., Lanchantin, P., Liu, X. and Qian, Y., 2016. Improved DNN-based segmentation for multi-genre broadcast audio ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 2016-May
    Doi: http://doi.org/10.1109/ICASSP.2016.7472769
  • Chen, X., Liu, X., Qian, Y., Gales, MJF. and Woodland, PC., 2016. CUED-RNNLM - An open-source toolkit for efficient training and evaluation of recurrent neural network language models ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 2016-May
    Doi: http://doi.org/10.1109/ICASSP.2016.7472829
  • Yang, J., Zhang, C., Ragni, A., Gales, MJF. and Woodland, PC., 2016. System combination with log-linear models ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 2016-May
    Doi: http://doi.org/10.1109/ICASSP.2016.7472764
  • Wu, C., Karanasou, P. and Gales, MJF., 2016. Combining i-vector representation and structured neural networks for rapid adaptation ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 2016-May
    Doi: http://doi.org/10.1109/ICASSP.2016.7472629
  • 2015

  • Van Dalen, RC. and Gales, MJF., 2015. Annotating large lattices with the exact word error Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2015-January
  • Van Dalen, RC., Knill, KM., Tsiakoulis, P. and Gales, MJF., 2015. Improving multiple-crowd-sourced transcriptions using a speech recogniser ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 2015-August
    Doi: 10.1109/ICASSP.2015.7178864
  • Liu, X., Chen, X., Gales, MJF. and Woodland, PC., 2015. Paraphrastic recurrent neural network language models ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 2015-August
    Doi: http://doi.org/10.1109/ICASSP.2015.7179004
  • Ragni, A., Gales, MJF. and Knill, KM., 2015. A language space representation for speech recognition ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 2015-August
    Doi: 10.1109/ICASSP.2015.7178849
  • Chen, X., Liu, X., Gales, MJF. and Woodland, PC., 2015. Improving the training and evaluation efficiency of recurrent neural network language models ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 2015-August
    Doi: http://doi.org/10.1109/ICASSP.2015.7179003
  • Chen, X., Liu, X., Gales, MJF. and Woodland, PC., 2015. Recurrent neural network language model training with noise contrastive estimation for speech recognition ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 2015-August
    Doi: http://doi.org/10.1109/ICASSP.2015.7179005
  • Gales, MJF., Knill, KM. and Ragni, A., 2015. Unicode-based graphemic systems for limited resource languages ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 2015-August
    Doi: 10.1109/ICASSP.2015.7178960
  • Drugman, T., Stylianou, Y., Chen, L., Chen, X. and Gales, MJF., 2015. Robust excitation-based features for Automatic Speech Recognition ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 2015-August
    Doi: http://doi.org/10.1109/ICASSP.2015.7178855
  • van Dalen, RC., Knill, KM. and Gales, MJF., 2015. Automatically Grading Learners’ English Using a Gaussian Process Speech and Language Technology in Education, SLaTE 2015,
  • Wang, H., Ragni, A., Gales, MJF., Knill, KM., Woodland, PC. and Zhang, C., 2015. Joint decoding of tandem and hybrid systems for improved keyword spotting on low resource languages Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2015-January
  • Lanchantin, P., Veaux, C., Gales, MJF., King, S. and Yamagishi, J., 2015. Reconstructing voices within the multiple-average-voice-model framework Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2015-January
  • van Dalen, RC., Knill, KM., Tsiakoulis, P. and Gales, MJF., 2015. IMPROVING MULTIPLE-CROWD-SOURCED TRANSCRIPTIONS USING A SPEECH RECOGNISER 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP),
  • Chen, X., Tan, T., Liu, X., Lanchantin, P., Wan, M., Gales, MJF. and Woodland, PC., 2015. Recurrent neural network language model adaptation for multi-genre broadcast speech recognition Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2015-January
  • Liu, X., Chen, X., Gales, MJF. and Woodland, PC., 2015. PARAPHRASTIC RECURRENT NEURAL NETWORK LANGUAGE 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP),
  • Liu, X., Flego, F., Wang, L., Zhang, C., Gales, M. and Woodland, P., 2015. The Cambridge university 2014 BOLT conversational telephone Mandarin Chinese lvcsr system for speech translation Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2015-January
  • Drugman, T., Stylianou, Y., Chen, L., Chen, X. and Gales, MJF., 2015. ROBUST EXCITATION-BASED FEATURES FOR AUTOMATIC SPEECH RECOGNITION 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP),
  • Mendels, G., Cooper, E., Soto, V., Hirschberg, J., Gales, M., Knill, K., Ragni, A. and Wang, H., 2015. Improving speech recognition and keyword search for low resource languages using web data Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 2015-January
  • Wu, C. and Gales, MJF., 2015. MULTI-BASIS ADAPTIVE NEURAL NETWORK FOR RAPID ADAPTATION IN SPEECH RECOGNITION 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP),
  • Wu, C. and Gales, MJF., 2015. Multi-basis adaptive neural network for rapid adaptation in speech recognition ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 2015-August
    Doi: http://doi.org/10.1109/ICASSP.2015.7178785
  • 2014

  • Rath, SP., Knill, KM., Ragni, A. and Gales, MJF., 2014. Combining tandem and hybrid systems for improved speech recognition and keyword spotting on low resource languages Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • Chen, X., Wang, Y., Liu, X., Gales, MJF. and Woodland, PC., 2014. Efficient GPU-based training of recurrent neural network language models using spliced sentence bunch Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • Kolluru, BK., Wan, V., Latorre, J., Yanagisawa, K. and Gales, MJF., 2014. Generating multiple-accent pronunciations for TTS using joint sequence model interpolation Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • Yanagisawa, K., Chen, L. and Gales, MJF., 2014. Noise-robust TTS speaker adaptation with statistics smoothing Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • Latorre, J., Yanagisawa, K., Wan, V., Kolluru, BK. and Gales, MJF., 2014. Speech intonation for TTS: Study on evaluation methodology Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • Chen, X., Gales, MJF., Knill, K., Breslin, C., Chen, L., Chin, KK. and Wan, V., 2014. An initial investigation of long-term adaptation for meeting transcription Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • Liu, X., Wang, Y., Chen, X., Gales, MJF. and Woodland, PC., 2014. Efficient lattice rescoring using recurrent neural network language models ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2014.6854535
  • Liu, X., Gales, MJF. and Woodland, PC., 2014. Paraphrastic neural network language models ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2014.6854534
  • Yang, J., Van Dalen, RC., Zhang, SX. and Gales, MJF., 2014. Infinite structured support vector machines for speech recognition ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2014.6854215
  • Yoshioka, T., Ragni, A. and Gales, MJF., 2014. Investigation of unsupervised adaptation of DNN acoustic models with filter bank input ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2014.6854825
  • Chen, L., Braunschweiler, N. and Gales, MJF., 2014. Speaker dependent expression predictor from text: Expressiveness and transplantation ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2014.6854065
  • Yoshioka, T., Chen, X. and Gales, MJF., 2014. Impact of single-microphone dereverberation on DNN-based meeting transcription systems ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2014.6854660
  • Karanasou, P., Wang, Y., Gales, MJF. and Woodland, PC., 2014. Adaptation of deep neural network acoustic models using factorised i-vectors Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • Ragni, A., Knill, KM., Rath, SP. and Gales, MJF., 2014. Data augmentation for low resource languages Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • Knill, KM., Gales, MJF., Ragni, A. and Rath, SP., 2014. Language independent and unsupervised acoustic models for speech recognition and keyword spotting Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • 2013

  • Lanchantin, P., Bell, PJ., Gales, MJF., Hain, T., Liu, X., Long, Y., Quinnell, J., Renals, S., Saz, O., Seigel, MS., Swietojanski, P. and Woodland, PC., 2013. Automatic transcription of multi-genre media archives CEUR Workshop Proceedings, v. 1012
  • Maia, R., Gales, MJF., Stylianou, Y. and Akamine, M., 2013. Minimum mean squared error based warped complex cepstrum analysis for statistical parametric speech synthesis Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • Chen, L., Gales, MJF., Braunschweiler, N., Akamine, M. and Knill, K., 2013. Integrated automatic expression prediction and speech synthesis from text ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2013.6639218
  • Latorre, J., Gales, MJF., Knill, K. and Akamine, M., 2013. Training a supra-segmental parametric F0 model without interpolating F0 ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2013.6638995
  • Maia, R., Akamine, M. and Gales, MJF., 2013. Complex cepstrum analysis based on the minimum mean squared error ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2013.6639217
  • Van Dalen, RC., Ragni, A. and Gales, MJF., 2013. Efficient decoding with generative score-spaces using the expectation semiring ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2013.6639145
  • Zhang, SX. and Gales, MJF., 2013. Kernelized log linear models for continuous speech recognition ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: http://doi.org/10.1109/ICASSP.2013.6639009
  • Wang, YQ. and Gales, MJF., 2013. An explicit independence constraint for factorised adaptation in speech recognition Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • Knill, KM., Gales, MJF., Rath, SP., Woodland, PC., Zhang, C. and Zhang, S-X., 2013. Investigation of multilingual deep neural networks for spoken term detection 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2013 - Proceedings,
    Doi: 10.1109/ASRU.2013.6707719
  • Long, Y., Gales, MJF., Lanchantin, P., Liu, X., Seigel, MS. and Woodland, PC., 2013. Improving Lightly Supervised Training for Broadcast Transcription 14TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2013), VOLS 1-5,
  • Liu, X., Gales, MJF. and Woodland, PC., 2013. Cross-domain Paraphrasing For Improving Language Modelling Using Out-of-domain Data 14TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2013), VOLS 1-5,
  • Wan, V., Anderson, R., Blokland, A., Braunschweiler, N., Chen, L., Kolluru, B., Latorre, J., Maia, R., Stenger, B., Yanagisawa, K., Stylianou, Y., Akamine, M., Gales, MJF. and Cipolla, R., 2013. Photo-Realistic Expressive Text to Talking Head Synthesis 14TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2013), VOLS 1-5,
  • Maia, R., Gales, MJF., Stylianou, Y. and Akamine, M., 2013. Minimum mean squared error based warped complex cepstrum analysis for statistical parametric speech synthesis 14TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2013), VOLS 1-5,
  • Wang, Y-Q. and Gales, MJF., 2013. An Explicit Independence Constraint for Factorised Adaptation in Speech Recognition 14TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2013), VOLS 1-5,
  • Liu, X., Gales, MJF. and Woodland, PC., 2013. Cross-domain paraphrasing for improving language modelling using out-of-domain data Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • Wan, V., Anderson, R., Blokland, A., Braunschweiler, N., Chen, L., Kolluru, BK., Latorre, J., Maia, R., Stenger, B., Yanagisawa, K., Stylianou, Y., Akamine, M., Gales, MJF. and Cipolla, R., 2013. Photo-realistic expressive text to talking head synthesis Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • 2012 (No publication date)

  • Ragni, A. and Gales, MJF., 2012 (No publication date). Derivative Kernels for Noise Robust ASR
  • 2012

  • Latorre, J., Wan, V., Gales, MJF., Chen, L., Chin, KK., Knill, K. and Akamine, M., 2012. Speech factorization for HMM-TTS based on cluster adaptive training. 13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012, v. 2
  • Wang, Y-Q. and Gales, MJF., 2012. Model-based approaches to adaptive training in reverberant environments 13TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2012 (INTERSPEECH 2012), VOLS 1-3,
  • Wan, V., Latorre, J., Chin, KK., Chen, L., Gales, MJF., Zen, H., Knill, K. and Akamine, M., 2012. Combining multiple high quality corpora for improving HMM-TTS 13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012, v. 2
  • Eyben, F., Buchholz, S., Braunschweiler, N., Latorre, J., Wan, V., Gales, MJF. and Knill, K., 2012. Unsupervised clustering of emotion and voice styles for expressive TTS ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,
    Doi: 10.1109/ICASSP.2012.6288797
  • Maia, R., Akamine, M. and Gales, MJF., 2012. COMPLEX CEPSTRUM AS PHASE INFORMATION IN STATISTICAL PARAMETRIC SPEECH SYNTHESIS 2012 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP),
  • Ragni, A. and Gales, MJF., 2012. INFERENCE ALGORITHMS FOR GENERATIVE SCORE-SPACES 2012 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP),
  • Roupakia, Z., Ragni, A. and Gales, M., 2012. Rapid nonlinear speaker adaptation for large-vocabulary continuous speech recognition 13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012, v. 2
  • Chen, L., Gales, MJF., Wan, V., Latorre, J. and Akamine, M., 2012. Exploring Rich Expressive Information from Audiobook Data Using Cluster Adaptive Training 13TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2012 (INTERSPEECH 2012), VOLS 1-3,
  • 2011

  • Breslin, C., Chin, KK., Gales, MJF., Knill, K. and Xu, H., 2011. Prior information for rapid speaker adaptation Proceedings of the 11th Annual Conference of the International Speech Communication Association,
  • Gales, MJF. and Yu, K., 2011. Canonical state models for automatic speech recognition Proceedings of the 11th Annual Conference of the International Speech Communication Association,
  • Latorre, J., Gales, MJF. and Zen, H., 2011. Training a parametric-based logF0 model with the minimum generation error criterion Proceedings of the 11th Annual Conference of the International Speech Communication Association,
  • Liu, X., Gales, MJF. and Woodland, PC., 2011. Language model cross adaptation for LVCSR system combination Proceedings of the 11th Annual Conference of the International Speech Communication Association,
  • Park, J., Liu, X., Gales, MJF. and Woodland, PC., 2011. Improved neural network based language modelling and adaptation Proceedings of the 11th Annual Conference of the International Speech Communication Association,
  • van Dalen, RC. and Gales, MJF., 2011. Asymptotically exact noise-corrupted speech likelihoods Proceedings of the 11th Annual Conference of the International Speech Communication Association,
  • Pilkington, NCV., Zen, H. and Gales, MJF., 2011. Gaussian process experts for voice conversion Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • Maia, R., Zen, H., Knill, K., Gales, MJF. and Buchholz, S., 2011. Multipulse sequences for residual signal modeling Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • Zhang, SX. and Gales, MJF., 2011. Structured support vector machines for noise robust continuous speech recognition Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • Diehl, F., Gales, MJF., Liu, X., Tomalin, M. and Woodland, PC., 2011. Word Boundary Modelling and Full Covariance Gaussians for Arabic Speech-to-Text Systems 12TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2011 (INTERSPEECH 2011), VOLS 1-5,
  • Liu, X., Gales, MJF. and Woodland, PC., 2011. Improving LVCSR System Combination Using Neural Network Language Model Cross Adaptation 12TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2011 (INTERSPEECH 2011), VOLS 1-5,
  • Li, T., Woodland, PC., Diehl, F. and Gales, MJF., 2011. Graphone Model Interpolation and Arabic Pronunciation Generation 12TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2011 (INTERSPEECH 2011), VOLS 1-5,
  • Maia, R., Zen, H., Knill, K., Gales, MJF. and Buchholz, S., 2011. Multipulse Sequences for Residual Signal Modeling 12TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2011 (INTERSPEECH 2011), VOLS 1-5,
  • Zhang, S-X. and Gales, MJF., 2011. Structured Support Vector Machines for Noise Robust Continuous Speech Recognition 12TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2011 (INTERSPEECH 2011), VOLS 1-5,
  • Pilkington, NCV., Zen, H. and Gales, MJF., 2011. Gaussian Process Experts for Voice Conversion 12TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2011 (INTERSPEECH 2011), VOLS 1-5,
  • Breslin, C., Chin, KK., Gales, MJF. and Knill, K., 2011. Integrated Online Speaker Clustering and Adaptation 12TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2011 (INTERSPEECH 2011), VOLS 1-5,
  • Braunschweiler, N., Gales, MJF. and Buchholz, S., 2011. Lightly supervised recognition for automatic alignment of large coherent speech recordings Proceedings of the 11th Annual Conference of the International Speech Communication Association,
  • 2010

  • Liu, X., Gales, MJF., Hieronymus, JL. and Woodland, PC., 2010. Language model combination and adaptation using weighted finite state transducers Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    Doi: http://doi.org/10.1109/ICASSP.2010.5494941
  • Tomalin, M., Park, J., Diehl, F., Gales, MJF. and Woodland, PC., 2010. Recent improvements to the Cambridge Arabic speech-to-text systems Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    Doi: 10.1109/ICASSP.2010.5495641
  • Zen, H., Gales, MJF., Nankaku, Y. and Tokuda, K., 2010. Statistical parametric synthesis based on products of experts Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    Doi: http://doi.org/10.1109/ICASSP.2010.5495691
  • Flego, F. and Gales, MJF., 2010. Discriminative adaptive training with VTS and JUD Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding,
    Doi: http://doi.org/10.1109/ASRU.2009.5373266
  • Gales, MJF., Ragni, A., AlDamarki, H. and Gautier, C., 2010. Support vector machines for noise robust ASR Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding,
    Doi: http://doi.org/10.1109/ASRU.2009.5372913
  • Xu, H., Gales, MJF. and Chin, KK., 2010. Improving joint uncertainty decoding performance by predictive methods for noise robust speech recognition Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding,
    Doi: http://doi.org/10.1109/ASRU.2009.5373317
  • Maia, R., Zen, H. and Gales, MJF., 2010. Statistical parametric speech synthesis with joint estimation of acoustic and excitation model parameters
  • Maia, R., Zen, H. and Gales, MJF., 2010. Statistical parametric speech synthesis with joint estimation of acoustic and excitation model parameters
  • Liu, X., Gales, MJF. and Woodland, PC., 2010. Language model cross adaptation for LVCSR system combination Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010,
  • Park, J., Liu, X., Gales, MJF. and Woodland, PC., 2010. Improved neural network based language modelling and adaptation Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010,
  • 2009

  • Longworth, C., van Dalen, RC. and Gales, MJF., 2009. Variational Dynamic Kernels for Speaker Verification INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5,
  • Kim, DK. and Gales, MJF., 2009. Adaptive Training with Noisy Constrained Maximum Likelihood Linear Regression for Noise Robust Speech Recognition INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5,
  • Gales, MJF., 2009. Acoustic Modelling for Speech Recognition: Hidden Markov Models and Beyond? 2009 IEEE WORKSHOP ON AUTOMATIC SPEECH RECOGNITION & UNDERSTANDING (ASRU 2009),
  • Flego, F. and Gales, MJF., 2009. Incremental predictive and adaptive noise compensation IEEE International Conference on Acoustics Speech and Signal Processing,
    Doi: http://doi.org/10.1109/ICASSP.2009.4960464
  • Liu, X., Gales, MJF. and Woodland, PC., 2009. Use of Contexts in Language Model Interpolation and Adaptation INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5,
  • Park, J., Diehl, F., Gales, MJF., Tomalin, M. and Woodland, PC., 2009. Training and adapting MLP features for Arabic speech recognition Proceedings of the IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP 2009,
    Doi: 10.1109/ICASSP.2009.4960620
  • Raut, CK. and Gales, MJF., 2009. Bayesian discriminative adaptation for speech recognition Proceedings of the IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP 2009,
    Doi: http://doi.org/10.1109/ICASSP.2009.4960595
  • Diehl, F., Gales, MJF., Tomalin, M. and Woodland, PC., 2009. Morphological Analysis and Decomposition for Arabic Speech-to-Text Systems INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5,
  • van Dalen, RC. and Gales, MJF., 2009. Extended VTS for noise-robust speech recognition Proceedings of the IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP 2009,
    Doi: http://doi.org/10.1109/ICASSP.2009.4960462
  • van Dalen, RC. and Gales, MJF., 2009. Extended VTS for noise-robust speech recognition IEEE International Conference on Acoustics Speech and Signal Processing,
    Doi: http://doi.org/10.1109/ICASSP.2009.4960462
  • Diehl, F., Gales, MJF., Tomalin, M. and Woodland, PC., 2009. Morphological analysis and decomposition for Arabic speech-to-text systems Proceedings of the 10th International Conference of the International Speech Communication Association,
  • Flego, F. and Gales, MJF., 2009. Incremental adaptation with VTS and joint adaptively trained systems Proceedings of the 10th International Conference of the International Speech Communication Association,
  • Flego, F. and Gales, MJF., 2009. Incremental Adaptation with VTS and Joint Adaptively Trained Systems INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5,
  • Gales, MJF. and Flego, F., 2009. Combining VTS model compensation and support vector machines Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    Doi: http://doi.org/10.1109/ICASSP.2009.4960460
  • Hieronymus, JL., Liu, X., Gales, MJF. and Woodland, PC., 2009. Exploiting Chinese character models to improve speech recognition performance Proceedings of the 10th International Conference of the International Speech Communication Association,
  • Kim, D. and Gales, MJF., 2009. Adaptive training with noisy constrained maximum likelihood linear regression for noise robust speech recognition 10th Annual Conference of the International Speech Communication Association, Interspeech 2009,
  • Liu, X., Gales, MJF. and Woodland, PC., 2009. Use of contexts in language model interpolation and adaptation Proceedings of the 10th International Conference of the International Speech Communication Association,
  • Longworth, C., van Dalen, RC. and Gales, MJF., 2009. Variational dynamic kernels for speaker verification Proceedings of the 10th International Conference of the International Speech Communication Association,
  • Park, J., Diehl, F., Gales, MJF., Tomalin, M. and Woodland, PC., 2009. Efficient generation and use of MLP features for Arabic speech recognition Proceedings of the 10th International Conference of the International Speech Communication Association,
  • van Dalen, RC. and Gales, MJF., 2009. Transforming features to compensate speech recogniser models for noise Proceedings of the 10th Annual Conference of the International Speech Communication Associatio,
  • van Dalen, RC., Flego, F. and Gales, MJF., 2009. Transforming Features to Compensate Speech Recogniser Models for Noise INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5,
  • Park, J., Diehl, F., Gales, MJF., Tomalin, M. and Woodland, PC., 2009. Efficient Generation and Use of MLP Features for Arabic Speech Recognition INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5,
  • 2008

  • Gales, MJF. and Longworth, C., 2008. Discriminative classifiers with generative kernels for noise-robust ASR ICSLP - International Conference - CD-ROM,
  • Liu, XA., Gales, MJF. and Woodland, PC., 2008. Context dependent language model adaptation Proceedings of the 9th Annual Conference of the International Speech Communication Association (Interspeech 2008) incorporating the 12th Australasian International Conference on Speech Science and Technology, SST' 08,
  • Longworth, C. and Gales, MJF., 2008. A generalised derivative kernel for speaker verification ICSLP - International Conference - CD-ROM,
  • Raut, CK., Yu, K. and Gales, MJF., 2008. Adaptive training using discriminative mapping transforms ICSLP - International Conference - CD-ROM,
  • van Dalen, RC. and Gales, MJF., 2008. Covariance modelling for noise-robust speech recognition ICSLP - International Conference - CD-ROM,
  • Raut, CK., Yu, K. and Gales, MJF., 2008. Adaptive Training using Discriminative Mapping Transforms INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5,
  • Liu, X., Gales, MJF. and Woodland, PC., 2008. Context Dependent Language Model Adaptation INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5,
  • Gales, MJF. and Longworth, C., 2008. Discriminative Classifiers with Generative Kernels for Noise Robust ASR INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5,
  • Raut, CK., Yu, K. and Gales, MJF., 2008. Adaptive training using discriminative mapping transforms Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,
  • Longworth, C. and Gales, MJF., 2008. A Generalised Derivative Kernel for Speaker Verification INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5,
  • van Dalen, RC. and Gales, MJF., 2008. Covariance Modelling for Noise-Robust Speech Recognition INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5,
  • Diehl, F., Gales, MJF., Tomalin, M. and Woodland, PC., 2008. Phonetic pronunciations for arabic speech-to-text systems IEEE International Conference on Acoustics Speech and Signal Processing,
    Doi: http://doi.org/10.1109/ICASSP.2008.4517924
  • Longworth, C. and Gales, MJF., 2008. Multiple kernel learning for speaker verification IEEE International Conference on Acoustics Speech and Signal Processing,
    Doi: http://doi.org/10.1109/ICASSP.2008.4517926
  • Yu, K., Gales, MJF. and Woodland, PC., 2008. Unsupervised discriminative adaptation using discriminative mapping transforms International Conference on Acoustics, Speech and Signal Processing, 2008,
    Doi: http://doi.org/10.1109/ICASSP.2008.4518599
  • 2007

  • Gales, MJF., 2007. Discriminative-models for speech recognition 2007 Information Theory and Applications Workshop,
  • Gales, MJF., Diehl, F., Raut, CK., Tomalin, M., Woodland, PC. and Yu, K., 2007. Development of a phonetic system for large vocabulary Arabic speech recognition 2007 IEEE WORKSHOP ON AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING, VOLS 1 AND 2,
  • Gales, MJF., Diehl, F., Raut, CK., Tomalin, M., Woodland, PC. and Yu, K., 2007. Development of a phonetic system for large vocabulary Arabic speech recognition
  • Gales, MJF. and van Dalen, RC., 2007. Predictive linear transforms for noise robust speech recognition
  • Liu, XA., Byrne, WJ., Gales, MJF., de Gispert, A., Tomalin, M., Woodland, PC. and Yu, K., 2007. Discriminative language model adaptation for Mandarin broadcast speech transcription and translation IEEE Workshop on Automatic Speech Recognition & Understanding, 2007,
    Doi: http://doi.org/10.1109/ASRU.2007.4430101
  • Yu, K., Gales, MJF. and Woodland, PC., 2007. Unsupervised Training with Directed Manual Transcription for Recognising Mandarin Broadcast Audio INTERSPEECH 2007: 8TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION, VOLS 1-4,
  • Yu, K., Gales, MJF. and Woodland, PC., 2007. Unsupervised training using directed manual transcription for recognising Mandarin broadcast audio Proceedings InterSpeech 2007,
  • Breslin, C. and Gales, MJF., 2007. Building multiple complementary systems using directed decision trees Proceedings InterSpeech 2007,
  • Longworth, C. and Gales, MJF., 2007. Parametric and derivative kernels for speaker verification Proceedings InterSpeech 2007,
  • Gales, MJF., Liu, X., Sinha, R., Woodland, PC., Yu, K., Matsoukas, S., Ng, T., Nguyen, K., Nguyen, L., Gauvain, JL., Lamel, L. and Messaoudi, A., 2007. Speech recognition system combination for machine translation Proceedings of the IEEE International Conference on Acoustics Speech and Signal Processing 2007, v. 4
    Doi: http://doi.org/10.1109/ICASSP.2007.367310
  • Tomalin, M., Gales, MJF., Liu, XA., Sinha, KC., Wang, L., Woodland, PC. and Yu, K., 2007. Improving speech transcription for Mandarin-English translation Proceedings of the IEEE International Conference on Acoustics Speech and Signal Processing 2007, v. 4
    Doi: http://doi.org/10.1109/ICASSP.2007.367172
  • Sim, KC., Byrne, WJ., Gales, MJF., Sahbi, H. and Woodland, PC., 2007. Consensus network decoding for statistical machine translation system combination IEEE International Conference on Acoustics Speech and Signal Processing, v. 4
    Doi: http://doi.org/10.1109/ICASSP.2007.367174
  • Gales, MJF., 2007. Discriminative models for speech recognition
    Doi: http://doi.org/10.1109/ITA.2007.4357576
  • Gales, MJF., Liu, X., Sinha, R., Woodland, PC., Yu, K., Matsoukas, S., Ng, T., Nguyen, K., Nguyen, L., Gauvain, J-L., Lamel, L. and Messaoudi, A., 2007. Speech recognition system combination for machine translation
  • Breslin, C. and Gales, MJF., 2007. Complementary system generation using directed decision trees Proceedings of the IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP' 07,
    Doi: http://doi.org/10.1109/ICASSP.2007.366918
  • Liao, H. and Gales, MJF., 2007. Adaptive training with joint uncertainty decoding for robust recognition of noisy data Proceedings of the IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP' 07, v. 4
    Doi: http://doi.org/10.1109/ICASSP.2007.366931
  • Breslin, C. and Gales, MJF., 2007. Building Multiple Complementary Systems using Directed Decision Trees INTERSPEECH 2007: 8TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION, VOLS 1-4,
  • Wang, L., Gales, MJF. and Woodland, PC., 2007. Unsupervised training for Mandarin broadcast news and conversation transcription Proceedings of the IEEE International Conference on Acoustics Speech and Signal Processing 200, ICASSP' 07,
    Doi: http://doi.org/10.1109/ICASSP.2007.366922
  • Wang, L., Gales, MJF. and Woodland, PC., 2007. Unsupervised training for Mandarin broadcast news and conversation transcription
  • Longworth, C. and Gales, MJF., 2007. Derivative and Parametric Kernels for Speaker Verification INTERSPEECH 2007: 8TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION, VOLS 1-4,
  • Tomalin, M., Gales, MJF., Liu, XA., Sinha, KC., Wang, L., Woodland, PC. and Yu, K., 2007. Improving speech transcription for Mandarin-English translation
  • Gales, MJF. and van Dalen, RC., 2007. Predictive linear transforms for noise robust speech recognition 2007 IEEE WORKSHOP ON AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING, VOLS 1 AND 2,
  • Liu, XA., Byrne, WJ., Gales, MJF., De Gispert, A., Tomalin, M., Woodland, PC. and Yu, K., 2007. Discriminative language model adaptation for Mandarin broadcast speech transcription and translation 2007 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2007, Proceedings,
    Doi: http://doi.org/10.1109/asru.2007.4430101
  • 2006

  • Layton, MI. and Gales, MJF., 2006. Augmented statistical models for speech recognition 2006 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-13,
  • Yu, K. and Gales, MJF., 2006. Incremental adaptation using Bayesian inference 2006 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-13,
  • Liao, H. and Gales, MJF., 2006. Issue with uncertainty decoding for noise robust speech recognition
  • Breslin, C. and Gales, MJF., 2006. Generating complementary systems for speech recognition
  • Longworth, C. and Gales, MJF., 2006. Discriminative adaptation for speaker verification
  • Layton, MI. and Gales, MJF., 2006. Augmented statistical models for speech recognition
  • Yu, K. and Gales, MJF., 2006. Incremental adaptation using Bayesian inference Proceedings of the 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, v. 1
    Doi: http://doi.org/10.1109/ICASSP.2006.1659996
  • Sinha, R., Gales, MJF., Kim, DY., Liu, X., Sim, KC. and Woodland, PC., 2006. The CU-HTK Mandarin broadcast news transcription system IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP'06,
  • Liao, H. and Gales, MJF., 2006. Issues with Uncertainty Decoding for Noise Robust Speech Recognition INTERSPEECH 2006 AND 9TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, VOLS 1-5,
  • Longworth, C. and Gales, MJF., 2006. Discriminative Adaptation for Speaker Verification INTERSPEECH 2006 AND 9TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, VOLS 1-5,
  • 2005

  • Gales, MJF., Jia, B., Liu, X., Sim, KC., Woodland, PC. and Yu, K., 2005. Development of the CUHTK 2004 Mandarin conversational telephone speech transcription system IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP '05,
    Doi: http://doi.org/10.1109/ICASSP.2005.1415250
  • Liao, H. and Gales, MJF., 2005. Joint uncertainty decoding for noise robust speech recognition Interspeech: 9th European Conference on Speech Communciation and Technology,
  • Sim, KC. and Gales, MJF., 2005. Adaptation of precision matrix models on large vocabulary continuous speech recognition Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, v. 1
  • Sim, KC. and Gales, MJF., 2005. Temporally varying model parameters for large vocabulary continuous speech recognition Interspeech: European Conference on Speech Communciation and Technology,
  • Gales, MJF., Jia, B., Liu, X., Sim, KC., Woodland, PC. and Yu, K., 2005. Development of the CUHTK 2004 Mandarin conversational telephone speech transcription system
  • Liu, X., Gales, MJF., Sim, KC. and Yu, K., 2005. Investigation of acoustic modeling techniques for LVCSR systems
  • Layton, MI. and Gales, MJF., 2005. Acoustic modelling using continuous rational kernels 2005 IEEE Workshop on Machine Learning for Signal Processing (MLSP),
  • Layton, M. and Gales, MJF., 2005. Augmented statistical models: exploiting generative models in discriminative classifiers
  • Yu, K. and Gales, MJF., 2005. Bayesian adaptation and adaptively trained systems Proceedings of the 2005 IEEE Workshop on Automatic Speech Recognition and Understanding,
    Doi: http://doi.org/10.1109/ASRU.2005.1566532
  • Layton, M. and Gales, MJF., 2005. Acoustic modelling using continuous rational kernels Proceedings of Machine Learning for Signal Processing Workshop,
  • Liu, X., Gales, MJF., Sim, KC. and Yu, K., 2005. Investigation of acoustic modeling techniques for LVCSR systems Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2005, v. 1
    Doi: http://doi.org/10.1109/ICASSP.2005.1415247
  • Evermann, G., Chan, HY., Gales, MJF., Jia, B., Mrva, D., Woodland, PC. and Yu, K., 2005. Development of the CU-HTK 2004 broadcast news transcription systems IEEE International Conference on Acoustics Speech and Signal Processing,
    Doi: http://doi.org/10.1109/ICASSP.2005.1415250
  • Evermann, G., Chan, HY., Gales, MJF., Jia, B., Mrva, D., Woodland, PC. and Yu, K., 2005. Training LVCSR systems on thousands of hours of data IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP '05, v. 1
    Doi: http://doi.org/10.1109/ICASSP.2005.1415087
  • 2004

  • Sim, KC. and Gales, MJF., 2004. Basis superposition precision matrix modeling for large vocabulary continuous speech recognition Proceedings of the 29th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), v. 1
  • Yu, K. and Gales, MJF., 2004. Adaptive training using structured transforms Proceedings of the 29th IEEE International Conference on Acoustics, Speech and Signal Proceedings, 2004, v. 1
    Doi: http://doi.org/10.1109/ICASSP.2004.1325986
  • Evermann, G., Chan, HY., Gales, MJF., Hain, T., Liu, X., Mrva, D., Wang, L. and Woodland, PC., 2004. Development of the 2003 CU-HTK conversational telephone speech transcription system IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP '04, v. 1
    Doi: http://doi.org/10.1109/ICASSP.2004.1325969
  • Evermann, G., Chan, HY., Gales, MJF., Jia, B., Liu, X., Mrva, D., Sim, KC., Wang, L. and Woodland, PC., 2004. Development of the 2004 CU-HTK English CTS systems using more than two thousand hours of data
  • Gales, MJF., Jia, B., Liu, X., Sim, KC., Woodland, PC. and Yu, K., 2004. Development of the CUHTK 2004 RT04F Mandarin conversational telephone speech transcription system
  • Kim, DY., Chan, HY., Evermann, G., Gales, MJF., Mrva, D., Sim, KC. and Woodland, PC., 2004. Recent developments at Cambridge in broadcast news transcription
  • Kim, DY., Gales, MJF., Hain, T. and Woodland, PC., 2004. Using VTLN for broadcast news transcription Interspeech 2004 ICSLP: 8th International Conference on Spoken Language Processing,
  • Liu, X. and Gales, MJF., 2004. Automatic model complexity control and compression using discriminative growth functions Proceedings of the 29th IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP),
  • Rosti, AVI. and Gales, MJF., 2004. Rao-blackwellised gibbs sampling for switching linear dynamical systems Proceedings of the 29th IEEE International conference on Acoustics, Speech and Signal Processing (ICASSP),
  • Tranter, SE., Gales, MJF., Sinha, R., Umesh, S. and Woodland, PC., 2004. The development of the Cambridge University RT-04 diarisation system
  • Evermann, G., Chan, HY., Gales, MJF., Hain, T., Liu, X., Mrva, D., Wang, L. and Woodland, PC., 2004. Development of the 2003 CU-HTK conversational telephone speech transcription system
  • Liu, X. and Gales, MJF., 2004. Automatic model complexity control and compression using discriminative growth functions
  • 2003

  • Airey, SS. and Gales, MJF., 2003. Product of Gaussians as a distributed representation for speech recognition Proceedings of the 8th European Conference on Speech Communication and Technology (Eurospeech), v. 2
  • Airey, SS. and Gales, MJF., 2003. Product of Gaussians and multiple stream systems Proceedings of the 28th IEEE International Conference on Acoustics, Speech, and Signal Processing, v. Volume 1: Speech Processing
  • Gales, MJF., Dong, Y., Povey, D. and Woodland, PC., 2003. Porting: SwitchBoard to the VoiceMail task IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP'03, v. 1
  • Liu, X. and Gales, MJF., 2003. Automatic model complexity control using marginalized discriminative growth functions Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding,
  • Liu, X., Gales, MJF. and Woodland, PC., 2003. Automatic complexity control for HLDA systems IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP'03, v. 1
  • Povey, D., Woodland, PC. and Gales, MJF., 2003. Discriminative map for acoustic model adaptation IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP'03, v. 1
  • Airey, SS. and Gales, MJF., 2003. Product of Gaussians and multiple stream systems 2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL I, PROCEEDINGS,
  • 2002

  • Cordoba, R., Woodland, PC. and Gales, MJF., 2002. Improved cross-task recognition using MMIE training IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP'02, v. 1
    Doi: http://doi.org/10.1109/ICASSP.2002.1005682
  • Gales, MJF., 2002. The HMM error model Proceedings of the 26th International Conference on Acoustics, Speech, and Signal Processing, v. Volume 1: Speech Processing
  • Smith, ND. and Gales, MJF., 2002. Using SVMs and discriminative models for speech recognition 2002 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-IV, PROCEEDINGS,
  • Stuttle, MN. and Gales, MJF., 2002. Combining a Gaussian mixture model front end with MFCC parameters Proceedings of the 7th International Conference on Spoken Language Processing (Interspeech), v. 3
  • Rosti, AVI. and Gales, MJF., 2002. Factor analysed HMMs (Hidden Markov Models) Proceedings of the 26th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), v. 1
  • Smith, ND. and Gales, MJF., 2002. SVMs for speech recognition Proceedings of the 26th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), v. Volume 1: Speech Processing
  • 2001

  • Gales, MJF., 2001. Acoustic factorisation Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU 2001),
  • Gales, MJF., 2001. Adaptive training for robust ASR Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU 2001),
  • Smith, N. and Gales, MJF., 2001. Speech recognition using SVMs Proceedings of the 15th Conference on Neural Information Processing Systems, v. 2
  • Gales, MJF., 2001. Multiple-cluster adaptive training schemes Proceedings of 26th International Conference on Acoustics, Speech, and Signal Processing, v. Volume 1: Speech Processing
  • Stuttle, MN. and Gales, MJF., 2001. A mixture of gaussians front end for speech recognition Proceedings of the 7th European Conference on Speech Communication and Technology, v. 1
  • 2000

  • Aiyer, A., Gales, MJF. and Picheny, MA., 2000. Rapid likelihood calculation of subspace clustered Gaussian components Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2000), v. 3
  • Eide, E., Maison, B., Kavensky, D., Olsen, P., Chen, S., Mangu, L., Gales, MJF., Novak, M. and Gopinath, R., 2000. IBM's 10xReal-time broadcast news transciption used in the 1999 hub4 evaluation
  • Eide, E., Maison, B., Kavensky, D., Olsen, P., Chen, S., Mangu, L. and Gales, MJF., 2000. Transcription of broadcast news with time constraint: IBM's 10xRT hub4 system
  • 1999

  • Chen, S., Eide, EM., Gales, MJF., Gopinath, RA. and Kavensky, RA., 1999. Recent improvements to IBM's speech recognition system for automatic transcription of broadcast news Proceedings of the IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), v. 1
  • Chen, S., Eide, EM., Gales, MJF., Gopinath, RA., Kavensky, D. and Olsen, PA., 1999. Recent improvements to IBM's speech recognition system for automatic transcription of broadcast news
  • Gales, MJF. and Olsen, PA., 1999. Tail distribution modelling using the richter and power exponential distributions
  • 1998

  • Gales, MJF., 1998. Cluster adaptive training for speech recognition Proceedings of 5th International Conference on Spoken Language Processing,
  • Chen, S., Gales, MJF., Gopalakrishnan, PS., Gopinath, RA., Kavensky, D., Olsen, P. and Polymenakos, L., 1998. IBM's LVCSR system for transcription of broadcast news used in the 1997 hub4 english evaluation
  • Gales, MJF., 1998. Semi-tied covariance matrices Proceedings of the IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), v. 2
  • 1997

  • Nock, H., Gales, MJF. and Young, SJ., 1997. A comparative study of methods for phonetic decision-tree state clustering
  • Gales, MJF., 1997. Transformation smoothing for speaker and environmental adaptation
  • Woodland, PC., Gales, MJF., Pye, D. and Young, SJ., 1997. Broadcast news transcription using HTK Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, v. 2
    Doi: http://doi.org/10.1109/ICASSP.1997.596005
  • Woodland, PC., Gales, MJF., Pye, D. and Young, SJ., 1997. The development of the 1996 HTK broadcast news transcription system Proceedings of DARPA Speech Recognition Workshop,
  • 1996

  • Knill, K., Gales, MJF. and Young, SJ., 1996. Use of Gaussian selection in large vocabulary continuous speech recognition using HMMs Proceedings of the 4th International Conference on Spoken Language Processing (ICSLP), v. 1
  • Woodland, PC., Gales, MJF. and Pye, D., 1996. Improving environmental robustness in large vocabulary speech recognition IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP 96, v. 1
    Doi: http://doi.org/10.1109/ICASSP.1996.540291
  • Woodland, PC., Pye, D. and Gales, MJF., 1996. Iterative unsupervised adaptation using maximum likelihood linear regression 4th International Conference on Spoken Language Processing (ICSLP 1996), v. 2
  • Woodland, PC., Gales, MJF., Pye, D. and Valtchev, V., 1996. The HTK large vocabulary recognition system for the 1995 ARPA H3 task Proceedings of the ARPA Continuous Speech Recognition Workshop,
  • Gales, MJF., Pye, D. and Woodland, PC., 1996. Variance compensation within the MLLR framework for robust speech recognition and speaker adaptation Proceedings of the 4th International Conference on Spoken Language Processing, ICSLP 1996, v. 3
  • 1995

  • Knill, K., Gales, MJF. and Young, SJ., 1995. Video mail retrieval using voice: an overview of the stage 2 system Proceedings of the Final Workshop on Multimedia Information Retrieval (Miro '95),
  • Gales, MJF. and Young, SJ., 1995. A fast and flexible implementation of parallel model combination Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ISCSSP), v. 1: Speech
  • Gopinath, RA., Gales, MJF., Gopalakrishnan, PS., Balakrishnan Aiyer, S. and Picheny, MA., 1995. Robust speech recognition in noise --- performance of the IBM continuous speech recogniser on the ARPA noise spoke task Proceedings of the ARPA Spoken Language Systems Technology Workshop,
  • Gales, MJF. and Young, SJ., 1995. The application of parallel model combination to a large vocabulary dictation task Proceedings of the 4th European Conference on Speech Communication and Technology (EUROSPEECH '95), v. 3
  • 1993

  • Gales, MJF. and Young, SJ., 1993. HMM recognition in noise using parallel model combination EUROSPEECH 93 proceedings, v. 2
  • Gales, MJF. and Young, SJ., 1993. Segmental hidden Markov models EUROSPEECH 93 proceedings, v. 3
  • 1992

  • GALES, MJF. and YOUNG, S., 1992. AN IMPROVED APPROACH TO THE HIDDEN MARKOV MODEL DECOMPOSITION OF SPEECH AND NOISE ICASSP-92 - 1992 INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5,
  • Internet publications

    2019

  • Li, Q., Ness, PM., Ragni, A. and Gales, MJF., 2019. Bi-directional Lattice Recurrent Neural Networks for Confidence Estimation
    Doi: http://doi.org/10.1109/ICASSP.2019.8683488
  • Datasets

    2018

  • Wu, C., Gales, M., Ragni, A., Karanasou, P. and Sim, KC., 2018. Improving Interpretability and Regularisation in Deep Learning
    Doi: http://doi.org/10.17863/CAM.18408
  • 2016 (No publication date)

  • Chen, X., Liu, X., Qian, Y., Gales, MJF. and Woodland, P., 2016 (No publication date). Research data supporting "CUED-RNNLM -- An Open-Source Toolkit for Efficient Training and Evaluation of Recurrent Neural Network Language Models"
  • Wang, L., Zhang, C., Woodland, PC., Gales, MJF., Karanasou, P., Lanchantin, P., Liu, X. and Qian, Y., 2016 (No publication date). Supplementary data for "Improved DNN-based Segmentation for Multi-genre Broadcast Audio"
  • 2015 (No publication date)

  • Karanasou, P., Gales, MJ., Lanchantin, P., Liu, X., Qian, Y., Wang, L., Woodland, PC. and Zhang, C., 2015 (No publication date). Supplementary data for "Speaker Diarisation and Linking in Multi-Genre Broadcast Data"
  • Lanchantin, P., Gales, MJ., Karanasou, P., Liu, X., Qian, Y., Wang, L., Woodland, PC. and Zhang, C., 2015 (No publication date). Supplementary data for "The Development of the Cambridge University Alignment Systems for the Multi-Genre Broadcast Challenge".
  • Van, DRC., Yang, J., Wang, H., Ragni, A., Zhang, C. and Gales, MJF., 2015 (No publication date). Data underpinning "Structured Discriminative Models using Deep Neural-Network Features"
  • Woodland, PC., Liu, X., Qian, Y., Zhang, C., Gales, MJ., Karanasou, P., Lanchantin, P. and Wang, L., 2015 (No publication date). Research data supporting "Cambridge university transcription systems for the multi-genre broadcast challenge"
  • Chen, X., Liu, X., Gales, MJF. and Woodland, P., 2015 (No publication date). Data underpinning "Investigation of back-off based interpolation between Recurrent Neural Network and N-Gram Language Models”
  • Book chapters

    2009

  • Gales, MJF., 2009. Augmented Statistical Models: Using Dynamic Kernels for Acoustic Models
    Doi: http://doi.org/10.1002/9780470742044.ch6
  • Reports

    2009

  • Kim, DK. and Gales, MJF., 2009. Noisy CMLLR for noise-robust speech recognition
  • 2008

  • Gales, MJF. and Flego, F., 2008. Discriminative classifiers and generative kernels for noise robust speech recognition
  • 2006

  • Liao, H. and Gales, MJF., 2006. Joint uncertainty decoding for robust large vocabulary speech recognition
  • 2004

  • Liao, H. and Gales, MJF., 2004. Uncertainty decoding for noise robust automatic speech recognition
  • Layton, MI. and Gales, MJF., 2004. Maximum margin training of generative kernels
  • Sim, KC. and Gales, MJF., 2004. Precision matrix modelling for large vocabulary continuous speech recognition
  • Yu, K. and Gales, MJF., 2004. Discriminative cluster adaptive training
  • 2003

  • Rosti, AV. and Gales, MJF., 2003. Switching linear dynamical systems for speech recognition
  • Airey, SS. and Gales, MJF., 2003. Product of Gaussians for speech recognition
  • Rosti, AV. and Gales, MJF., 2003. Factor analysed hidden Markov models for speech recognition
  • Hain, T., Woodland, PC., Evermann, G., Gales, MJF., Liu, X., Moore, G., Povey, D. and Wang, L., 2003. Automatic transcription of conversational telephone speech: development of the CU-HTK 2002 system
  • 2002

  • Smith, ND. and Gales, MJF., 2002. Using SVMs to classify variable length speech patterns
  • 2001

  • Rosti, AV. and Gales, MJF., 2001. Generalised linear Gaussian models
  • Gales, MJF., 2001. Transformation streams and the HMM error model
  • Smith, ND., Gales, MJF. and Niranjan, M., 2001. Data-dependent Kernels in SVM classification of speech patterns
  • 1999

  • Gales, MJF., 1999. Maximum likelihood multiple projection schemes for hidden Markov models
  • 1997

  • Gales, MJF., 1997. Adapting semi-tied full-convariance matrix HMMs
  • Gales, MJF., 1997. Maximum likelihood linear transformations for HMM-based speech recognition
  • Gales, MJF., 1997. Semi-tied full-covariance matrices for hidden Markov models
  • Gales, MJF., Knill, KM. and Young, SJ., 1997. State-based Gaussian selection in large vocabulary continuous speech recognition using HMMs
  • 1996

  • Gales, MJF., 1996. The generation and use of regression class trees for MLLR adaptation
  • Gales, MJF. and Woodland, PC., 1996. Variance compensation within the MLLR framework
  • 1994

  • Gales, MJF. and Young, SJ., 1994. Robust continuous speech recognition using parallel model combination
  • 1993

  • Gales, MJF. and Young, SJ., 1993. Parallel model combination for speech recognition in noise
  • Gales, MJF. and Young, SJ., 1993. PMC for speech recognition in additive and convolutional noise
  • Gales, MJF. and Young, SJ., 1993. The theory of segmental hidden Markov models
  • Other publications

    2006

  • Young, SJ., Evermann, G., Gales, MJF., Kershaw, D., Moore, G., Odell, JJ., Ollason, DG., Povey, D., Valtchev, V. and Woodland, PC., 2006. The HTK book version 3.4

  • Read more at: Professor Paula Buttery

    Professor Paula Buttery

    Co-Director of Cambridge Language Sciences; Lead Scientific Adviser for Cambridge University Press & Assessment; Director of the Cambridge Institute for Automated Language Teaching and Assessment; Machine Learning for Natural Language Processing; Cognitive Models of Language; Low Resource Language.

    Datasets

    2023

  • Tyen, WHG., Brenchley, M., Caines, A. and Buttery, P., 2023. Research data supporting "Towards an open-domain chatbot for language practice"
    Doi: http://doi.org/10.17863/CAM.90764
  • Journal articles

    2023

  • Benedetto, L., Cremonesi, P., Caines, A., Buttery, P., Cappelli, A., Giussani, A. and Turrin, R., 2023. A Survey on Recent Approaches to Question Difficulty Estimation from Text ACM Computing Surveys, v. 55
    Doi: 10.1145/3556538
  • Goriely, Z., Caines, A. and Buttery, P., 2023. Word segmentation from transcriptions of child-directed speech using lexical and sub-lexical cues. J Child Lang,
    Doi: http://doi.org/10.1017/S0305000923000491
  • 2022

  • Elliott, M. and Buttery, P., 2022. Non-iterative Conditional Pairwise Estimation for the Rating Scale Model. Educ Psychol Meas, v. 82
    Doi: http://doi.org/10.1177/00131644211046253
  • 2021

  • Katushemererwe, F., Caines, A. and Buttery, P., 2021. Building natural language processing tools for Runyakitara Applied Linguistics Review, v. 12
    Doi: http://doi.org/10.1515/applirev-2020-2004
  • 2019

  • Caines, A., Altmann-Richer, E. and Buttery, P., 2019. The cross-linguistic performance of word segmentation models over time. J Child Lang, v. 46
    Doi: http://doi.org/10.1017/S0305000919000485
  • 2018

  • Caines, A., Pastrana, S., Hutchings, A. and Buttery, PJ., 2018. Automatically identifying the function and intent of posts in underground forums Crime Science, v. 7
    Doi: http://doi.org/10.1186/s40163-018-0094-4
  • 2017

  • Bentz, C., Alikaniotis, D., Samardžić, T. and Buttery, P., 2017. Variation in Word Frequency Distributions: Definitions, Measures and Implications for a Corpus-Based Language Typology Journal of Quantitative Linguistics, v. 24
    Doi: http://doi.org/10.1080/09296174.2016.1265792
  • 2015

  • Thwaites, A., Nimmo-Smith, I., Fonteneau, E., Patterson, RD., Buttery, P. and Marslen-Wilson, WD., 2015. Tracking cortical entrainment in neural activity: auditory processes in human temporal cortex. Front Comput Neurosci, v. 9
    Doi: http://doi.org/10.3389/fncom.2015.00005
  • Bentz, C., Verkerk, A., Kiela, D., Hill, F. and Buttery, P., 2015. Adaptive Communication: Languages with More Non-Native Speakers Tend to Have Fewer Word Forms. PLoS One, v. 10
    Doi: http://doi.org/10.1371/journal.pone.0128254
  • 2014

  • Bentz, C., Kiela, D., Hill, F. and Buttery, P., 2014. Zipf's law and the grammar of languages: A quantitative study of old and modern English parallel texts Corpus Linguistics and Linguistic Theory, v. 10
    Doi: http://doi.org/10.1515/cllt-2014-0009
  • 2012 (No publication date)

  • Rice, A., Buttery, P., Rai, IA. and Beresford, A., 2012 (No publication date). Language learning on a next-generation service platform for Africa
  • 2011

  • McEntyre, JR., Ananiadou, S., Andrews, S., Black, WJ., Boulderstone, R., Buttery, P., Chaplin, D., Chevuru, S., Cobley, N., Coleman, LA., Davey, P., Gupta, B., Haji-Gholam, L., Hawkins, C., Horne, A., Hubbard, SJ., Kim, JH., Lewin, I., Lyte, V., MacIntyre, R., Mansoor, S., Mason, L., McNaught, J., Newbold, E., Nobata, C., Ong, E., Pillai, S., Rebholz-Schuhmann, D., Rosie, H., Rowbotham, R., Rupp, CJ., Stoehr, P. and Vaughan, P., 2011. UKPMC: a full text article resource for the life sciences NUCLEIC ACIDS RES, v. 39
    Doi: http://doi.org/10.1093/nar/gkq1063
  • Andersen, Ø., Briscoe, T., Buttery, P., Carroll, J., Medlock, B., Parish, T. and Watson, R., 2011. Text Processing Tools and Services from iLexIR Ltd
  • 2010

  • Hawkins, JA. and Buttery, P., 2010. Criterial features in learner corpora: Theory and illustrations English Profile Journal, v. 1
    Doi: http://doi.org/10.1017/S2041536210000103
  • Poornima, S., Good, J., Su, Q., Huang, CR., Chen, K., Sharma, DM., Dimitriadis, A., Plank, B., van Noord, G., Caines, A. and others, , 2010. Proceedings of the 2010 Workshop on NLP and Linguistics: Finding the Common Ground$$ Proceedings of the 2010 Workshop on NLP and Linguistics: Finding the Common Ground$$,
  • Briscoe, T., Buttery, P., Carroll, J., Medlock, B. and Watson, R., 2010. Text Processing Tools and Services from iLexIR Ltd
  • 2009

  • Hawkins, JA. and Buttery, P., 2009. Using learner language from corpora to profile levels of proficiency: Insights from the english profile programme Language Testing Matters: Investigating the wider social and educational impact of assessment,
  • 2008

  • Briscoe, T. and Buttery, P., 2008. LINGUISTIC ADAPTATIONS FOR RESOLVING AMBIGUITY The evolution of language: proceedings of the 7th International Conference (EVOLANG7), Barcelona, Spain, 12-15 March 2008,
  • 2007

  • 2007. Proceedings of the Workshop on Cognitive Aspects of Computational Language Acquisition
  • 2006

  • Buttery, P., 2006. Computational models for first language acquisition
  • 2005

  • Buttery, P., 2005. Charles D. Yang. Knowledge and Learning in Natural Language. Oxford University Press, 2002. ISBN 0 19 925414 1 (hardback), Price $60. ISBN 0 19 925415 X (paperback), Price $21.95, 220 pages. Nat. Lang. Eng., v. 11
    Doi: http://doi.org/10.1017/S1351324905213724
  • Buttery, P. and Korhonen, A., 2005. Large-scale analysis of verb subcategorization differences between child directed speech and adult speech Proceedings of the Interdisciplinary Workshop on the Identification and Representation of Verb Features and Verb Classes,
  • 2004

  • Buttery, P. and Briscoe, T., 2004. The significance of errors to parametric models of language acquisition AAAI Spring Symposium - Technical Report, v. 5
  • Buttery, P., 2004. A quantitative evaluation of naturalistic models of language acquisition; the efficiency of the Triggering Learning Algorithm compared to a Categorial Grammar Learner Coling 2004,
  • Theses / dissertations

    2022 (No publication date)

  • Moore, R., 2022 (No publication date). Skill embeddings: artificial neural network representations for pedagogical policy development.
    Doi: http://doi.org/10.17863/CAM.90433
  • Conference proceedings

    2022

  • Tyen, G., Brenchley, M., Caines, A. and Buttery, P., 2022. Towards an open-domain chatbot for language practice BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings,
  • Pete, I., Hughes, J., Caines, A., Vu, AV., Gupta, H., Hutchings, A., Anderson, R. and Buttery, P., 2022. PostCog: A tool for interdisciplinary research into underground forums at scale Proceedings - 7th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2022,
    Doi: http://doi.org/10.1109/EuroSPW55150.2022.00016
  • Wambsganss, T., Caines, A. and Buttery, P., 2022. ALEN App: Persuasive Writing Support To Foster English Language Learning BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings,
  • Rietsche, R., Caines, A., Schramm, C., Pfütze, D. and Buttery, P., 2022. The Specificity and Helpfulness of Peer-to-Peer Feedback in Higher Education BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings,
  • Felice, M., Taslimipoor, S. and Buttery, P., 2022. Constructing Open Cloze Tests Using Generation and Discrimination Capabilities of Transformers Proceedings of the Annual Meeting of the Association for Computational Linguistics,
  • Felice, M., Taslimipoor, S., Andersen, ØE. and Buttery, P., 2022. CEPOC: The Cambridge Exams Publishing Open Cloze dataset 2022 Language Resources and Evaluation Conference, LREC 2022,
  • Davis, C., Bryant, C., Caines, A., Rei, M. and Buttery, P., 2022. Probing for targeted syntactic knowledge through grammatical error detection CoNLL 2022 - 26th Conference on Computational Natural Language Learning, Proceedings of the Conference,
  • 2020

  • Hughes, J., Aycock, S., Caines, A., Buttery, P. and Hutchings, A., 2020. Detecting Trending Terms in Cybersecurity Forum Discussions Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020),
    Doi: 10.18653/v1/2020.wnut-1.15
  • Caines, A., Bentz, C., Knill, K., Rei, M. and Buttery, P., 2020. Grammatical error detection in transcriptions of spoken English COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference,
  • Caines, A. and Buttery, P., 2020. REPROLANG 2020: Automatic proficiency scoring of Czech, English, German, Italian, and Spanish learner essays LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings,
  • Caines, A., Bentz, C., Knill, K., Rei, M. and Buttery, P., 2020. Grammatical error detection in transcriptions of spoken English Proceedings of the 28th International Conference on Computational Linguistics,
    Doi: http://doi.org/10.18653/v1/2020.coling-main.195
  • Zaidi, A., Caines, A., Moore, R., Buttery, P. and Rice, A., 2020. Adaptive Forgetting Curves for Spaced Repetition Language Learning Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 12164 LNAI
    Doi: http://doi.org/10.1007/978-3-030-52240-7_65
  • Craighead, H., Caines, A., Buttery, P. and Yannakoudakis, H., 2020. Investigating the effect of auxiliary objectives for the automated grading of learner english speech transcriptions Proceedings of the Annual Meeting of the Association for Computational Linguistics,
  • 2019

  • Aglionby, G., Davis, C., Mishra, P., Caines, A., Yannakoudakis, H., Rei, M., Shutova, E. and Buttery, P., 2019. CAMsterdam at SemEval-2019 task 6: Neural and graph-based feature extraction for the identification of offensive tweets NAACL HLT 2019 - International Workshop on Semantic Evaluation, SemEval 2019, Proceedings of the 13th Workshop,
  • Moore, R., Caines, A., Rice, A. and Buttery, P., 2019. Behavioural cloning of teachers for automatic homework selection Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11625 LNAI
    Doi: http://doi.org/10.1007/978-3-030-23204-7_28
  • Moore, R., Caines, A., Elliott, M., Zaidi, A., Rice, A. and Buttery, P., 2019. Skills embeddings: A neural approach to multicomponent representations of students and tasks EDM 2019 - Proceedings of the 12th International Conference on Educational Data Mining,
  • Zaidi, AH., Caines, A., Davis, C., Moore, R., Buttery, P. and Rice, A., 2019. Accurate modelling of language learning tasks and students using representations of grammatical proficiency EDM 2019 - Proceedings of the 12th International Conference on Educational Data Mining,
  • Felice, M. and Buttery, P., 2019. Entropy as a proxy for gap complexity in open cloze tests International Conference Recent Advances in Natural Language Processing, RANLP, v. 2019-September
    Doi: http://doi.org/10.26615/978-954-452-056-4_037
  • 2018

  • Caines, A., Pastrana, S., Hutchings, A. and Buttery, P., 2018. Aggressive language in an online hacking forum 2nd Workshop on Abusive Language Online - Proceedings of the Workshop, co-located with EMNLP 2018,
  • Pastrana, S., Hutchings, A., Caines, A. and Buttery, P., 2018. Characterizing eve: Analysing cybercrime actors in a large underground forum Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11050 LNCS
    Doi: http://doi.org/10.1007/978-3-030-00470-5_10
  • 2017

  • Graham, C., Buttery, P. and Nolan, F., 2017. Vowel characteristics in the assessment of L2 English pronunciation Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 08-12-September-2016
    Doi: http://doi.org/10.21437/Interspeech.2016-1630
  • Flint, E., Ford, E., Thomas, O., Caines, A. and Buttery, P., 2017. A Text Normalisation System for Non-Standard English Words 3rd Workshop on Noisy User-Generated Text, W-NUT 2017 - Proceedings of the Workshop,
  • Caines, A., Flint, E. and Buttery, P., 2017. Collecting fluency corrections for spoken learner english EMNLP 2017 - 12th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2017 - Proceedings of the Workshop,
  • Caines, A., McCarthy, M. and Buttery, P., 2017. Parsing transcripts of speech EMNLP 2017 - 1st Workshop on Speech-Centric Natural Language Processing, SCNLP 2017 - Proceedings of the Workshop,
  • 2016

  • Zhang, W., Caines, A., Alikaniotis, D. and Buttery, P., 2016. Predicting author age from Weibo microblog posts Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016,
  • Caines, A., Bentz, C., Graham, C., Polzehl, T. and Buttery, P., 2016. Crowdsourcing a multilingual speech corpus: Recording, transcription and annotation of the CROWDED corpus Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016,
  • Moore, R., Caines, A., Graham, C. and Buttery, P., 2016. Automated speech-unit delimitation in spoken learner English COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers,
  • 2015

  • Moore, R., Caines, A., Graham, C. and Buttery, P., 2015. Incremental dependency parsing and disfluency detection in spoken learner English Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 9302
    Doi: http://doi.org/10.1007/978-3-319-24033-6_53
  • 2012

  • Caines, A. and Buttery, P., 2012. Annotating progressive aspect constructions in the spoken section of the british national Corpus Proceedings of the 8th International Conference on Language Resources and Evaluation, LREC 2012,
  • Buttery, P. and Caines, A., 2012. Reclassifying subcategorization frames for experimental analysis and stimulus generation Proceedings of the 8th International Conference on Language Resources and Evaluation, LREC 2012,
  • 2010

  • Thwaites, A., Geertzen, J., Marslen-Wilson, WD. and Buttery, P., 2010. LIPS: A Tool for Predicting the Lexical Isolation Point of a Word Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC’10),
  • Williams, C., Thwaites, A., Buttery, P., Geertzen, J., Randall, B., Shafto, M., Devereux, B. and Tyler, L., 2010. The Cambridge Cookie-Theft Corpus: A Corpus of Directed and Spontaneous Speech of Brain-Damaged Patients and Healthy Individuals Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC’10),
  • Caines, A. and Buttery, P., 2010. ‘You talking to me?’ A predictive model for zero auxiliary constructions Proceedings of the Workshop on Natural Language Processing and Linguistics, Finding the Common Ground, Annual Meeting of the Association for Computational Linguistics,
  • Thwaites, A., Geertzen, J., Marslen-Wilson, WD. and Buttery, P., 2010. LIPS: a tool for predicting the lexical isolation point of a word
  • 2009

  • Vlachos, A., Buttery, P., Séaghdha, DO. and Briscoe, T., 2009. Biomedical event extraction without training data Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing: Shared Task,
  • 2007

  • Buttery, P. and Korhonen, A., 2007. I will shoot your shopping down and you can shoot all my tins: automatic lexical acquisition from the CHILDES database Proceedings of the Workshop on Cognitive Aspects of Computational Language Acquisition,
  • Book chapters

    2018

  • Caines, A., McCarthy, M. and Buttery, P., 2018. 'You still talking to me?': The zero auxiliary progressive in spoken British english twenty years on
  • Caines, A. and Buttery, P., 2018. The Effect of Task and Topic on Opportunity of Use in Learner Corpora
  • 2012 (No publication date)

  • Buttery, PJ., McCarthy, M. and Carter, R., 2012 (No publication date). Chatting in the academy: informality in spoken academic discourse
  • 2012

  • Caines, A. and Buttery, P., 2012. Normalising frequency counts to account for ‘opportunity of use’ in learner corpora
  • 2011

  • Buttery, PJ. and McCarthy, M., 2011. Lexis in Spoken Discourse.
  • 2008

  • Briscoe, E. and Buttery PJ, , 2008. The evolution of language. LINGUISTIC ADAPTATIONS FOR RESOLVING AMBIGUITY
  • Reports

    2017

  • Caines, AP., Nicholls, D. and Buttery, P., 2017. Annotating errors and disfluencies in transcriptions of speech

  • Read more at: Dr Nick Saville

    Dr Nick Saville

    Language test development and validation; Learning Oriented Assessment (LOA); Language Policy; Multilingualism and Plurilingualism; Ethics and AI in language education; Understanding Assessment - "assessment literacy"


    Read more at: Professor Ted Briscoe

    Professor Ted Briscoe

    Computational linguistics; speech and language processing; textual information management; evolutionary linguistics

    Conference proceedings

    2021

  • Dahiya, R., Nathan, A. and Occhipinti, LG., 2021. Front Matter FLEPS 2021 - IEEE International Conference on Flexible and Printable Sensors and Systems,
    Doi: http://doi.org/10.1109/FLEPS51544.2021.9469865
  • 2019 (No publication date)

  • Farag, Y., Yannakoudakis, H. and Briscoe, T., 2019 (No publication date). Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input Proceedings of NAACL-HLT 2018, New Orleans, Louisiana, pages 263–271, v. Volume 1
    Doi: http://doi.org/10.18653/v1/N18-1024
  • 2019

  • Bryant, C., Felice, M., Andersen, ØE. and Briscoe, T., 2019. The bea-2019 shared task on grammatical error correction ACL 2019 - Innovative Use of NLP for Building Educational Applications, BEA 2019 - Proceedings of the 14th Workshop,
  • Xia, M., Kochmar, E. and Briscoe, T., 2019. Automatic learner summary assessment for reading comprehension. NAACL-HLT (1),
  • 2018

  • Bryant, C. and Briscoe, T., 2018. Language model based grammatical error correction without annotated training data Proceedings of the 13th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2018 at the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HTL 2018,
  • Zhang, M., Chen, X., Cummins, R., Andersen, Ø. and Briscoe, T., 2018. The effect of adding authorship knowledge in automated text scoring Proceedings of the 13th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2018 at the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HTL 2018,
  • 2017

  • Rei, M., Felice, M., Yuan, Z. and Briscoe, T., 2017. Artificial Error Generation with Machine Translation and Syntactic Patterns Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications,
  • Farag, Y., Rei, M. and Briscoe, T., 2017. An Error-Oriented Approach to Word Embedding Pre-Training Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications,
  • Bryant, CJ., Felice, M. and Briscoe, E., 2017. Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, v. 1
  • Zaidi, AH., Moore, R. and Briscoe, T., 2017. Curriculum Q-Learning for Visual Vocabulary Acquisition
  • 2016

  • Yuan, Z., Briscoe, T. and Felice, M., 2016. Candidate re-ranking for smt-based grammatical error correction Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2016,
  • Cummins, R., Yannakoudakis, H. and Briscoe, T., 2016. Unsupervised modeling of topical relevance in l2 learner text Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2016,
  • Yuan, Z. and Briscoe, T., 2016. Grammatical error correction using neural machine translation 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - Proceedings of the Conference,
    Doi: http://doi.org/10.18653/v1/n16-1042
  • Cummins, R., Zhang, M. and Briscoe, T., 2016. Constrained multi-task learning for automated essay scoring 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers, v. 2
    Doi: http://doi.org/10.18653/v1/p16-1075
  • Xia, M., Kochmar, E. and Briscoe, E., 2016. Text Readability Assessment for Second Language Learners Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications,
  • 2015

  • Kochmar, E. and Briscoe, T., 2015. Using learner data to improve error correction in adjective-noun combinations 10th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2015 at the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2015,
  • Felice, M. and Briscoe, T., 2015. Towards a standard evaluation method for grammatical error detection and correction NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference,
    Doi: http://doi.org/10.3115/v1/n15-1060
  • 2014

  • Rei, M. and Briscoe, T., 2014. Parser lexicalisation through self-learning NAACL HLT 2013 - 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Main Conference,
  • Kochmar, E. and Briscoe, T., 2014. Detecting learner errors in the choice of content words using compositional distributional semantics COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014: Technical Papers,
  • Felice, M., Yuan, Z., Andersen, ØE., Yannakoudakis, H. and Kochmar, E., 2014. Grammatical error correction using hybrid systems and type filtering CoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings of the Shared Task,
    Doi: http://doi.org/10.3115/v1/w14-1702
  • Rei, M. and Briscoe, T., 2014. Looking for Hyponyms in Vector Space. CoNLL,
  • 2014. Proceedings of the Eighteenth Conference on Computational Natural Language Learning: Shared Task, CoNLL 2014, Baltimore, Maryland, USA, June 26-27, 2014 CoNLL Shared Task,
  • Ng, HT., Wu, SM., Briscoe, T., Hadiwinoto, C., Susanto, RH. and Bryant, C., 2014. The CoNLL-2014 shared task on grammatical error correction CoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings of the Shared Task,
    Doi: http://doi.org/10.3115/v1/w14-1701
  • Wang, Y., Wang, L., Zeng, X., Wong, DF., Chao, LS. and Lu, Y., 2014. Factored Statistical Machine Translation for Grammatical Error Correction. CoNLL Shared Task,
  • 2013

  • Rei, M. and Briscoe, T., 2013. Parser lexicalisation through self-learning Proceedings of the North American Conference of the Association for Computational Computational Linguistics,
  • Kochmar, E. and Briscoe, T., 2013. Capturing anomalies in the choice of content words in compositional distributional semantic space International Conference Recent Advances in Natural Language Processing, RANLP,
  • Rei, M. and Briscoe, T., 2013. Parser lexicalisation through self-learning Proceedings of the 2nd Workshop on Computational Linguistics for Literature, CLfL 2013 at the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013,
  • 2012 (No publication date)

  • Yannakoudakis, H., Briscoe, E. and Alexopoulou, T., 2012 (No publication date). Automating Second Language Acquisition Research: Integrating Information Visualisation and Machine Learning EACL,
  • Kochmar, E., Andersen, O. and Briscoe, T., 2012 (No publication date). HOO 2012 Error Recognition and Correction Shared Task: Cambridge University Submission Report
  • Yannakoudakis, H. and Briscoe, T., 2012 (No publication date). Modeling coherence in ESOL learner texts
  • 2012

  • Kochmar, E., Andersen, O. and Briscoe, E., 2012. HOO 2012 Error Recognition and Correction Shared Task: Cambridge University Submission Report http://aclweb.org/anthology/W12-2028, v. Proceedings of the Seventh Workshop on Building Educational Applications Using NLP
  • 2011

  • Yannakoudakis, H., Briscoe, T. and Medlock, B., 2011. A new dataset and method for automatically grading ESOL texts Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies-Volume 1,
  • Rei, M. and Briscoe, T., 2011. Unsupervised Entailment Detection between Dependency Graph Fragments
    Doi: http://doi.org/10.17863/CAM.21358
  • 2010

  • Briscoe, T., Harrison, K., Naish-Guzman, A., Parker, A., Siddharthan, A., Sinclair, D., Slater, M. and Watson, R., 2010. Camtology: intelligent information access for science Proceedings of the NAACL HLT 2010 Demonstration Session,
  • Rei, M. and Briscoe, T., 2010. Combining Manual Rules and Supervised Learning for Hedge Cue and Scope Detection CoNLL 2010 - 14th Conference on Computational Natural Language Learning: Shared Task, Proceedings,
  • Vlachos, A., Ghahramani, Z. and Briscoe, T., 2010. Active learning for constrained Dirichlet process mixture models Proceedings of the 2010 Workshop on GEometrical Models of Natural Language Semantics,
  • Rei, M. and Briscoe, T., 2010. Combining manual rules and supervised learning for hedge cue and scope detection Proceedings of the Fourteenth Conference on Computational Natural Language Learning: Shared Task,
  • 2009

  • Vlachos, A., Buttery, P., Séaghdha, DO. and Briscoe, T., 2009. Biomedical event extraction without training data Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing: Shared Task,
  • Jaeger, H., Steels, L., Baronchelli, A., Briscoe, T., Christiansen, MH., Ths, TG., Jager, G., Kirby, S., Komarova, NL., Richerson, PJ. and Triesch, J., 2009. What Can Mathematical, Computational, and Robotic Models Tell Us about the Origins of Syntax? BIOLOGICAL FOUNDATIONS AND ORIGIN OF SYNTAX,
  • Briscoe, T., 2009. What Can Formal or Computational Models Tell Us about How (Much) Language Shaped the Brain? BIOLOGICAL FOUNDATIONS AND ORIGIN OF SYNTAX,
  • 2008

  • Briscoe, T., Gasperin, C., Lewin, I. and Vlachos, A., 2008. Bootstrapping an interactive information extraction system for FlyBase curation. Ontologies and Text Mining for Life Sciences, v. 08131
  • Andersen, ØE., Nioche, J., Briscoe, T. and Carroll, JA., 2008. The BNC Parsed with RASP4UIMA. LREC,
  • 2007

  • Medlock, B. and Briscoe, T., 2007. Weakly Supervised Learning for Hedge Classification in Scientific Literature. ACL,
  • Preiss, J., Briscoe, T. and Korhonen, A., 2007. A System for Large-Scale Acquisition of Verbal, Nominal and Adjectival Subcategorization Frames from Corpora. ACL,
  • 2006

  • Briscoe, T. and Carroll, JA., 2006. Evaluating the Accuracy of an Unlexicalized Statistical Parser on the PARC DepBank. ACL,
  • Briscoe, T., Carroll, JA. and Watson, R., 2006. The Second Release of the RASP System. ACL,
  • 2005

  • Yallop, J., Korhonen, A. and Briscoe, T., 2005. Automatic Acquisition of Adjectival Subcategorization from Corpora. ACL,
  • 2004

  • Carroll, J. and Briscoe, T., 2004. High precision extraction of grammatical relations NEW DEVELOPMENTS IN PARSING TECHNOLOGY,
  • Preiss, J., Gasperin, C. and Briscoe, T., 2004. Can Anaphoric Definite Descriptions be Replaced by Pronouns? LREC,
  • 2002

  • Preiss, J., Korhonen, A. and Briscoe, T., 2002. Subcategorization Acquisition as an Evaluation Method for WSD. LREC,
  • Briscoe, T. and Carroll, JA., 2002. Robust Accurate Statistical Annotation of General Text. LREC,
  • 2001

  • Carroll, JA. and Briscoe, T., 2001. High Precision Extraction of Grammatical Relations. IWPT,
  • 1997

  • Briscoe, T. and Carroll, JA., 1997. Automatic Extraction of Subcategorization from Corpora. ANLP,
  • Briscoe, T., 1997. Co-evolution of language and of the language acquisition device 35TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 8TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE,
  • 1992

  • COPESTAKE, A. and BRISCOE, T., 1992. LEXICAL OPERATIONS IN A UNIFICATION-BASED FRAMEWORK LEXICAL SEMANTICS AND KNOWLEDGE REPRESENTATION, v. 627
  • 1991

  • McQueen, JM. and Briscoe, EJ., 1991. A computational tool for examining lexical segmentation in continuous speech. EUROSPEECH,
  • 1990

  • BRISCOE, T., 1990. LEXICAL ACCESS IN CONNECTED SPEECH RECOGNITION 27TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS,
  • Briscoe, T., Copestake, AA. and Boguraev, B., 1990. Enjoy the Paper: Lexicology. COLING,
  • 1989

  • TAYLOR, L., GROVER, C. and BRISCOE, T., 1989. THE SYNTACTIC REGULARITY OF ENGLISH NOUN PHRASES FOURTH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS,
  • 1988

  • Boguraev, B., Carroll, JA., Briscoe, T. and Grover, C., 1988. Software support for practical grammar development. COLING,
  • 1987

  • Boguraev, B., Briscoe, T., Carroll, JA., Carter, DM. and Grover, C., 1987. The Derivation of a Grammatically Indexed Lexicon from the Longman Dictionary of Contemporary English. ACL,
  • Boguraev, B., Carter, DM. and Briscoe, T., 1987. A Multi-Purpose Interface to an On-line Dictionary. EACL,
  • Briscoe, T., 1987. Deterministic Parsing And Unbounded Dependencies. EACL,
  • Briscoe, T., Grover, C., Boguraev, B. and Carroll, JA., 1987. A Formalism and Environment for the Development of a Large Grammar of English. IJCAI,
  • Carter, DM., Boguraev, B. and Briscoe, T., 1987. Lexical stress and phonetic information: which segments are most informative? ECST,
  • 1985

  • Alshawi, H., Boguraev, B. and Briscoe, T., 1985. Towards A Dictionary Support Environment For Realtime Parsing. EACL,
  • 1984

  • Briscoe, EJ. and Boguraev, B., 1984. Control Structures And Theories Of Interaction In Speech Understanding Systems. COLING,
  • Journal articles

    2020

  • Farag, Y., Valvoda, J., Yannakoudakis, H. and Briscoe, T., 2020. Analyzing Neural Discourse Coherence Models CODI workshop in EMNLP2020,
  • 2019

  • Xia, M., Kochmar, E. and Briscoe, T., 2019. Text Readability Assessment for Second Language Learners. CoRR, v. abs/1906.07580
  • Xia, M., Kochmar, E. and Briscoe, T., 2019. Automatic learner summary assessment for reading comprehension NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference, v. 1
  • 2018

  • Yannakoudakis, H., Andersen, ØE., Geranpayeh, A., Briscoe, T. and Nicholls, D., 2018. Developing an automated writing placement system for ESL learners Applied Measurement in Education, v. 31
    Doi: http://doi.org/10.1080/08957347.2018.1464447
  • 2017

  • Farag, Y., Rei, M. and Briscoe, T., 2017. An Error-Oriented Approach to Word Embedding Pre-Training. CoRR, v. abs/1707.06841
  • Rei, M., Felice, M., Yuan, Z. and Briscoe, T., 2017. Artificial Error Generation with Machine Translation and Syntactic Patterns. CoRR, v. abs/1707.05236
  • 2016

  • Felice, M., Bryant, C. and Briscoe, T., 2016. Automatic extraction of learner errors in ESL sentences using linguistically enhanced alignments COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers,
  • 2011

  • Briscoe, T., Harrison, K., Naish, A., Parker, A., Rei, M., Siddharthan, A., Sinclair, D., Slater, M. and Watson, R., 2011. Intelligent Information Access from Scientific Papers CURRENT CHALLENGES IN PATENT INFORMATION RETRIEVAL, v. 29
    Doi: 10.1007/978-3-642-19231-9_16
  • Rei, M. and Briscoe, T., 2011. Unsupervised entailment detection between dependency graph fragments ACL HLT 2011,
  • 2010

  • Briscoe, T., Medlock, B. and Andersen, Ø., 2010. Automated assessment of ESOL free text examinations CUCL TR,
  • 2009

  • Briscoe, T., 2009. Herbert Jaeger, Luc Steels, Andrea Baronchelli, Ted Briscoe, Morten H. Christiansen, Thomas Griffiths, Gerhard Jäger, Simon Kirby, Natalia L. Komarova, Peter J. Richerson, and Jochen Triesch Biological foundations and origin of syntax,
  • 2008

  • Gasperin, C. and Briscoe, T., 2008. Statistical anaphora resolution in biomedical texts Coling 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference, v. 1
    Doi: http://doi.org/10.3115/1599081.1599114
  • Karamanis, N., Seal, R., Lewin, I., McQuilton, P., Vlachos, A., Gasperin, C., Drysdale, R. and Briscoe, T., 2008. Natural language processing in aid of FlyBase curators. BMC Bioinformatics, v. 9
    Doi: http://doi.org/10.1186/1471-2105-9-193
  • Briscoe, T., 2008. Language learning, power laws, and sexual selection Mind and Society, v. 7
    Doi: http://doi.org/10.1007/s11299-007-0040-8
  • 2007

  • Karamanis, N., Lewin, I., Seal, R., Drysdale, R. and Briscoe, E., 2007. Integrating natural language processing with FlyBase curation. Pac Symp Biocomput,
  • Watson, R. and Briscoe, T., 2007. Adapting the RASP system for the CoNLL07 domain-adaptation task EMNLP-CoNLL 2007 - Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning,
  • 2006

  • Vlachos, A., Gasperin, C., Lewin, I. and Briscoe, T., 2006. Bootstrapping the recognition and anaphoric linking of named entities in Drosophila articles. Pac Symp Biocomput,
  • 2004

  • Buttery, P. and Briscoe, T., 2004. The significance of errors to parametric models of language acquisition AAAI Spring Symposium - Technical Report, v. 5
  • 2001

  • Briscoe, T., 2001. The symbolic species: The co-evolution of language and the human brain NOTES REC ROY SOC, v. 55
  • 2000

  • Briscoe, T., 2000. Grammatical acquisition: Inductive bias and coevolution of language and the language acquisition device LANGUAGE, v. 76
  • 1999

  • Carroll, J., Minnen, G. and Briscoe, T., 1999. Corpus Annotation for Parser Evaluation Proceedings of the EACL99 workshop on Linguistically Interpreted Corpora (LINC), Bergen, Norway, June 12,
  • Briscoe, T. and Copestake, A., 1999. Lexical rules in constraint-based grammars COMPUT LINGUIST, v. 25
  • Briscoe, EJ., 1999. The Acquisition of Grammar in an Evolving Population of Language Agents. Electron. Trans. Artif. Intell., v. 3
  • 1998

  • Carroll, J., Minnen, G. and Briscoe, T., 1998. Can Subcategorisation Probabilities Help a Statistical Parser? 6th Workshop on Very Large Corpora, Montreal, Canada, 1998,
  • 1997

  • Briscoe, T. and Carroll, J., 1997. Automatic Extraction of Subcategorization from Corpora
  • Briscoe, T., 1997. Co-evolution of Language and of the Language Acquisition Device CoRR, v. cmp-lg/9705001
  • 1996

  • Carroll, J. and Briscoe, T., 1996. Apportioning Development Effort in a Probabilistic LR Parsing System through Evaluation Conference on Empirical Methods in Natural Language Processing (EMNLP-96), 92-100,
  • LASCARIDES, A., BRISCOE, T., ASHER, N. and COPESTAKE, A., 1996. ORDER INDEPENDENT AND PERSISTENT TYPED DEFAULT UNIFICATION LINGUIST PHILOS, v. 19
  • 1995

  • Briscoe, T. and Carroll, J., 1995. Developing and Evaluating a Probabilistic LR Parser of Part-of-Speech and Punctuation Labels 4th International Workshop on Parsing Technologies (IWPT-95), 48-58,
  • MCQUEEN, JM., CUTLER, A., BRISCOE, T. and NORRIS, D., 1995. MODELS OF CONTINUOUS SPEECH RECOGNITION AND THE CONTENTS OF THE VOCABULARY LANG COGNITIVE PROC, v. 10
  • Copestake, A. and Briscoe, T., 1995. Semi-productive polysemy and sense extension Journal of Semantics, v. 12
    Doi: http://doi.org/10.1093/jos/12.1.15
  • 1994

  • Gopestake, A., Briscoe, T., Vossen, P., Ageno, A., Castellon, I., Ribas, F., Rigau, G., Rodríguez, H. and Samiotou, A., 1994. Acquisition of lexical translation relations from MRDS Machine Translation, v. 9
    Doi: http://doi.org/10.1007/BF00980578
  • 1993

  • Briscoe, T. and Carroll, J., 1993. Generalized Probabilistic LR Parsing of Natural Language (Corpora) with Unification-Based Grammars. Comput. Linguistics, v. 19
  • 1992

  • COPESTAKE, A. and BRISCOE, T., 1992. LEXICAL OPERATIONS IN A UNIFICATION-BASED FRAMEWORK LECT NOTES ARTIF INT, v. 627
  • 1984

  • BRISCOE, EJ., 1984. PARSING NATURAL-LANGUAGE - KING,M J LINGUIST, v. 20
  • Other publications

    2018

  • Farag, Y., Yannakoudakis, H. and Briscoe, T., 2018. Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input. CoRR, v. abs/1804.06898
  • Book chapters

    2010

  • Briscoe, T., 2010. Grammatical Assimilation
    Doi: http://doi.org/10.1093/acprof:oso/9780199244843.003.0016
  • Watson, R., Briscoe, T. and Carroll, J., 2010. Semi-supervised Training of a Statistical Parser from Unlabeled Partially-Bracketed Data
    Doi: http://doi.org/10.1007/978-90-481-9352-3_16

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