Christopher Bryant

According to our database, Christopher Bryant authored at least 23 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Grammatical Error Correction for Code-Switched Sentences by Learners of English.

Kelvin Wey Han Chan, Christopher Bryant, Li Nguyen, Andrew Caines, Zheng Yuan

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Prompting open-source and commercial language models for grammatical error correction of English learner text.

Christopher Davis, Andrew Caines, Øistein E. Andersen, Shiva Taslimipoor, Helen Yannakoudakis, Zheng Yuan, Christopher Bryant, Marek Rei, Paula Buttery

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Grammatical Error Correction: A Survey of the State of the Art.

Christopher Bryant, Zheng Yuan, Muhammad Reza Qorib, Hannan Cao, Hwee Tou Ng, Ted Briscoe

Comput. Linguistics, September, 2023

On the application of Large Language Models for language teaching and assessment technology.

Andrew Caines, Luca Benedetto, Shiva Taslimipoor, Christopher Davis, Yuan Gao, Oeistein Andersen, Zheng Yuan, Mark Elliott, Russell Moore, Christopher Bryant, Marek Rei, Helen Yannakoudakis, Andrew Mullooly, Diane Nicholls, Paula Buttery

CoRR, 2023

An Extended Sequence Tagging Vocabulary for Grammatical Error Correction.

Stuart Mesham, Christopher Bryant, Marek Rei, Zheng Yuan

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

On the Application of Large Language Models for Language Teaching and Assessment Technology.

Andrew Caines, Luca Benedetto, Shiva Taslimipoor, Christopher Davis, Yuan Gao, Øistein E. Andersen, Zheng Yuan, Mark Elliott, Russell Moore, Christopher Bryant, Marek Rei, Helen Yannakoudakis, Andrew Mullooly, Diane Nicholls, Paula Buttery

Proceedings of the Workshop on Empowering Education with LLMs, 2023

How effective is machine translation on low-resource code-switching? A case study comparing human and automatic metrics.

Li Nguyen, Christopher Bryant, Oliver Mayeux, Zheng Yuan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Improving Grammatical Error Correction for Multiword Expressions.

Shiva Taslimipoor, Christopher Bryant, Zheng Yuan

Proceedings of the 18th Workshop on Multiword Expressions, 2022

Probing for targeted syntactic knowledge through grammatical error detection.

Christopher Davis, Christopher Bryant, Andrew Caines, Marek Rei, Paula Buttery

Proceedings of the 26th Conference on Computational Natural Language Learning, 2022

2021

Contextual Sentence Classification: Detecting Sustainability Initiatives in Company Reports.

Dan Hirlea, Christopher Bryant, Marek Rei

CoRR, 2021

Multi-Class Grammatical Error Detection for Correction: A Tale of Two Systems.

Zheng Yuan, Shiva Taslimipoor, Christopher Davis, Christopher Bryant

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Document-level grammatical error correction.

Zheng Yuan, Christopher Bryant

Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications, 2021

2020

CanVEC - the Canberra Vietnamese-English Code-switching Natural Speech Corpus.

Li Nguyen, Christopher Bryant

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

A Crash Course in Automatic Grammatical Error Correction.

Roman Grundkiewicz, Christopher Bryant, Mariano Felice

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Automatic annotation of error types for grammatical error correction.

Christopher Jack Bryant

PhD thesis, 2019

Neural Grammatical Error Correction with Finite State Transducers.

Felix Stahlberg, Christopher Bryant, Bill Byrne

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

The BEA-2019 Shared Task on Grammatical Error Correction.

Christopher Bryant, Mariano Felice, Øistein E. Andersen, Ted Briscoe

Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2019

2018

Language Model Based Grammatical Error Correction without Annotated Training Data.

Christopher Bryant, Ted Briscoe

Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications@NAACL-HLT 2018, 2018

2017

Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction.

Christopher Bryant, Mariano Felice, Ted Briscoe

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Automatic Extraction of Learner Errors in ESL Sentences Using Linguistically Enhanced Alignments.

Mariano Felice, Christopher Bryant, Ted Briscoe

Proceedings of the COLING 2016, 2016

2015

The CoNLL-2015 Shared Task on Shallow Discourse Parsing.

Nianwen Xue, Hwee Tou Ng, Sameer Pradhan, Rashmi Prasad, Christopher Bryant, Attapol Rutherford

Proceedings of the 19th Conference on Computational Natural Language Learning: Shared Task, 2015

How Far are We from Fully Automatic High Quality Grammatical Error Correction?

Christopher Bryant, Hwee Tou Ng

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

The CoNLL-2014 Shared Task on Grammatical Error Correction.

Hwee Tou Ng, Siew Mei Wu, Ted Briscoe, Christian Hadiwinoto, Raymond Hendy Susanto, Christopher Bryant

Proceedings of the Eighteenth Conference on Computational Natural Language Learning: Shared Task, 2014