Christopher Bryant

Staff AI Research Scientist, Natural Language Processing, Writer Inc.

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I am a Staff AI Research Scientist at Writer and Visiting Researcher in the Natural Language Processing (NLP) group at the University of Cambridge.

My main research focus is automatic Grammatical Error Detection and Correction (GED/GEC), but I have also worked on codeswitching (using more than one language in a sentence), automatic annotation, artificial data generation, robust evaluation, and discourse parsing. I built and maintain the ERRor ANnotation Toolkit (ERRANT), which is widely used to measure progress in GEC, and also led the Building Educational Applications Shared Task on Grammatical Error Correction (BEA-2019).

I completed my PhD as a member of Churchill College at the University of Cambridge where I was supervised by Ted Briscoe and supported by the Institute for Automated Language Teaching and Assessment (ALTA). Before that, I worked as a Research Assistant in the School of Computing at the National University of Singapore under Hwee Tou Ng. I completed a MSc in Speech and Language Processing and an undergraduate MA(Hons) in Chinese and Linguistics, both at the University of Edinburgh.

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selected publications

  1. CL
    Grammatical Error Correction: A Survey of the State of the Art
    Christopher Bryant, Zheng Yuan, Muhammad Reza Qorib, and 3 more authors
    Computational Linguistics,, Sep 2023
  2. BEA
    The BEA-2019 Shared Task on Grammatical Error Correction
    Christopher Bryant, Mariano Felice, Øistein E. Andersen, and 1 more author
    In Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications,, Aug 2019
  3. ACL
    Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction
    Christopher Bryant, Mariano Felice, and Ted Briscoe
    In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers),, Jul 2017