Christopher Bryant

Christopher Bryant is a Visiting Professor in the Natural Language and Information Processing group at the University of Cambridge's Department of Computer Science and Technology. He holds a PhD from the University of Cambridge (2019), supervised by Prof. Ted Briscoe, and previously worked as a Research Assistant at the National University of Singapore under Prof. Hwee Tou Ng. His research focuses on grammatical error correction (GEC), automatic annotation, and codeswitching analysis. He developed the ERRor ANnotation Toolkit (ERRANT), widely used in GEC research, and led the BEA-2019 Shared Task. Bryant also serves as an Applied AI Research Scientist at Writer, Inc., and maintains active collaborations in NLP.

Education:

• PhD in Computer Science, University of Cambridge (2019)
• MSc in Speech and Language Processing, University of Edinburgh (Year not specified)
• MA(Hons) in Chinese and Linguistics, University of Edinburgh (Year not specified)

Research Interests:

• Automatic grammatical error detection/correction (GEC) for non-native English
• Codeswitching analysis in multilingual contexts
• Robust evaluation methodologies and artificial data generation
• Discourse parsing and linguistic annotation frameworks
• Applications of large language models in educational technology

Key Contributions:

• ERRANT: Open-source tool for GEC error annotation and evaluation
• BEA-2019 Shared Task on GEC for educational applications
• Industry collaboration with Writer, Inc. on AI-driven writing tools

Grants & Collaborations: Supported by the Institute for Automated Language Teaching and Assessment (ALTA) during his PhD. Active in academic-industrial partnerships through his role at Writer.