Papers by Kelvin Wey Han Chan

1 papers
Grammatical Error Correction for Code-Switched Sentences by Learners of English (2024.lrec-main)

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Challenge: Existing grammar error correction systems have been trained on monolingual data and not developed for CSW text.
Approach: They propose a method of generating synthetic CSW GEC datasets by translating different spans of text within existing GEC corpora and investigate different methods of selecting these spans based on CSW ratio, switch-point factor and linguistic constraints.
Outcome: The proposed model achieves an average increase of 1.57 F0.5 across 3 CSW test sets (English-Chinese, English-Korean and English-Japanese) without affecting the model’s performance on a monolingual dataset.

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