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cs.CL2025
Prompting open-source and commercial language models for grammatical error correction of English learner text
Christopher Davis, Andrew Caines, Ãistein Andersen +6
Thanks to recent advances in generative AI, we are able to prompt large language models (LLMs) to produce texts which are fluent and grammatical. In addition, it has been shown tha…
cs.CL2024
Grammatical Error Correction for Code-Switched Sentences by Learners of English
Kelvin Wey Han Chan, Christopher Bryant, Li Nguyen +2
Code-switching (CSW) is a common phenomenon among multilingual speakers where multiple languages are used in a single discourse or utterance. Mixed language utterances may still co…