I am a final year PhD student in the Natural Language and Information Processing (NLIP) group at the University of Cambridge. I am supervised by Prof. Ted Briscoe and supported by the Institute for Automated Language Teaching and Assessment (ALTA). I am a member of Churchill College.
My research mainly concerns the Automatic Detection and Correction of Grammatical Errors in non-native English texts. I also built and developed the ERRor ANnotation Toolkit (ERRANT) which automatically annotates parallel sentences with error type information.
Before I came to Cambridge, I spent two years working as a Research Assistant in the School of Computing at the National University of Singapore under Prof. Hwee Tou Ng. Before that, I completed a MSc in Speech and Language Processing and an undergraduate MA(Hons) in Chinese and Linguistics, both at the University of Edinburgh.
Felix Stahlberg, Christopher Bryant and Bill Byrne. 2019. Neural Grammatical Error Correction with Finite State Transducers. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pages 4033–4039, Minneapolis, Minnesota, USA. Association for Computational Linguistics. [pdf, bib, slides]
Christopher Bryant and Ted Briscoe. 2018. Language Model Based Grammatical Error Correction without Annotated Training Data. In Proceedings of the 13th Workshop on Innovative Use of NLP for Building Educational Applications, pages 247–253, New Orleans, Louisiana, USA. Association for Computational Linguistics. [pdf, bib, code, poster]
Christopher Bryant, Mariano Felice, and Ted Briscoe. 2017. Automatic annotation and evaluation of error types for grammatical error correction. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, pages 793–805, Vancouver, Canada. Association for Computational Linguistics. [pdf, bib, code, slides, video]
Mariano Felice, Christopher Bryant, and Ted Briscoe. 2016. Automatic extraction of learner errors in ESL sentences using linguistically enhanced alignments. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 825–835, Osaka, Japan. The COLING 2016 Organizing Committee. [pdf, bib, code, poster]
Christopher Bryant and Mariano Felice. 2016. Issues in preprocessing current datasets for grammatical error correction. Technical Report UCAM-CL-TR-894. University of Cambridge, Computer Laboratory. [pdf, bib]
Nianwen Xue, Hwee Tou Ng, Sameer Pradhan, Rashmi Prasad, Christopher Bryant, and Attapol Rutherford. 2015. The CoNLL-2015 Shared Task on Shallow Discourse Parsing. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task, pages 1-16, Beijing, China. Association for Computational Linguistics. [pdf, bib]
Christopher Bryant and Hwee Tou Ng. 2015. How far are we from fully automatic high quality grammatical error correction? In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 697–707, Beijing, China. Association for Computational Linguistics. [pdf, bib, dataset, poster]
Maria Luisa Garcia Lecumberri, Martin Cooke, and Christopher Bryant. 2015. Accent evaluation from extemporaneous child speech. Poznań Studies in Contemporary Linguistics, Volume 51 (2), pages 227-246. [pdf, bib]
Hwee Tou Ng, Siew Mei Wu, Ted Briscoe, Christian Hadiwinoto, Raymond Hendy Susanto, and Christopher Bryant. 2014. The CoNLL-2014 Shared Task on Grammatical Error Correction. In Proceedings of the Eighteenth Conference on Computational Natural Language Learning: Shared Task, pages 1-14, Baltimore, Maryland, USA. Association for Computational Linguistics. [pdf, bib]
University of Cambridge
William Gates Building
15 JJ Thomson Avenue
Cambridge CB3 0FD, UK
Email: firstnäme.lastnäme at cl.cam.ac.uk
© Christopher Bryant. Last updated: June 2019.