Refines Korean GEC annotation by reconstructing NIKL targets under morphological rules, converting to m2 edits, defining a Korean ERRANT scheme, and adding a second reference to KoLLA for multi-reference evaluation.
Ground Truth for Grammatical Error Correction Metrics
2 Pith papers cite this work. Polarity classification is still indexing.
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Edit-level majority voting on multiple LLM-generated candidates reduces over-correction in grammatical error correction and outperforms greedy and MBR decoding on nine multilingual benchmarks while remaining stable to prompt variations.
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Refining Word-Based Grammatical Error Annotation for L2 Korean
Refines Korean GEC annotation by reconstructing NIKL targets under morphological rules, converting to m2 edits, defining a Korean ERRANT scheme, and adding a second reference to KoLLA for multi-reference evaluation.
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Edit-level Majority Voting Mitigates Over-Correction in LLM-based Grammatical Error Correction
Edit-level majority voting on multiple LLM-generated candidates reduces over-correction in grammatical error correction and outperforms greedy and MBR decoding on nine multilingual benchmarks while remaining stable to prompt variations.