Christopher Bryant
Christopher Bryant
AI Research Scientist (Writer), Visiting Researcher (University of Cambridge)
Verified email at - Homepage
Cited by
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The CoNLL-2014 shared task on grammatical error correction
HT Ng, SM Wu, T Briscoe, C Hadiwinoto, RH Susanto, C Bryant
Proceedings of the eighteenth conference on computational natural language …, 2014
The BEA-2019 shared task on grammatical error correction
C Bryant, M Felice, ØE Andersen, T Briscoe
Proceedings of the fourteenth workshop on innovative use of NLP for building …, 2019
Automatic annotation and evaluation of error types for grammatical error correction
CJ Bryant, M Felice, E Briscoe
Association for Computational Linguistics, 2017
The conll-2015 shared task on shallow discourse parsing
N Xue, HT Ng, S Pradhan, R Prasad, C Bryant, A Rutherford
Proceedings of the Nineteenth Conference on Computational Natural Language …, 2015
How far are we from fully automatic high quality grammatical error correction?
C Bryant, HT Ng
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
Automatic extraction of learner errors in ESL sentences using linguistically enhanced alignments
M Felice, C Bryant, T Briscoe
Proceedings of COLING 2016, the 26th International Conference on …, 2016
Grammatical Error Correction: A Survey of the State of the Art
C Bryant, Z Yuan, MR Qorib, H Cao, HT Ng, T Briscoe
Computational Linguistics 49 (3), 643-701, 2023
Language model based grammatical error correction without annotated training data
C Bryant, T Briscoe
Proceedings of the thirteenth workshop on innovative use of NLP for building …, 2018
Neural grammatical error correction with finite state transducers
F Stahlberg, C Bryant, B Byrne
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
Multi-class grammatical error detection for correction: A tale of two systems
Z Yuan, S Taslimipoor, C Davis, C Bryant
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
Document-level grammatical error correction
Z Yuan, C Bryant
Proceedings of the 16th Workshop on Innovative Use of NLP for Building …, 2021
On the application of large language models for language teaching and assessment technology
A Caines, L Benedetto, S Taslimipoor, C Davis, Y Gao, O Andersen, ...
arXiv preprint arXiv:2307.08393, 2023
A crash course in automatic grammatical error correction
R Grundkiewicz, C Bryant, M Felice
Proceedings of the 28th International Conference on Computational …, 2020
Automatic annotation of error types for grammatical error correction
CJ Bryant
University of Cambridge, 2019
Automatic language identification in code-switched Hindi-English social media text
L Nguyen, C Bryant, S Kidwai, T Biberauer
Journal of Open Humanities Data 7, 2021
CanVEC-the canberra Vietnamese-English code-switching natural speech corpus
L Nguyen, C Bryant
Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020
An extended sequence tagging vocabulary for grammatical error correction
S Mesham, C Bryant, M Rei, Z Yuan
arXiv preprint arXiv:2302.05913, 2023
Issues in preprocessing current datasets for grammatical error correction
C Bryant, M Felice
University of Cambridge, Computer Laboratory, 2016
Accent evaluation from extemporaneous child speech
ML García Lecumberri, M Cooke, C Bryant
Poznan Studies in Contemporary Linguistics 51 (2), 227-246, 2015
Probing for targeted syntactic knowledge through grammatical error detection
C Davis, C Bryant, A Caines, M Rei, P Buttery
arXiv preprint arXiv:2210.16228, 2022
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