Grammatical Error Correction as Multiclass Classification with Single Model
Code (0)
등록된 구현이 없습니다.
Tasks
ClassificationGeneral ClassificationGrammatical Error CorrectionGrammatical Error DetectionLanguage ModellingSimilar Papers 제목 키워드 기반
Efficient and Interpretable Grammatical Error Correction with Mixture of Experts
Error type information has been widely used to improve the performance of grammatical error correction (GEC) models, whether for generating corrections, re-ranking them, or combining GEC models. Combining GEC models that…
Grammatical Error CorrectionMixture-of-ExpertsRe-RankingComparison of Grammatical Error Correction Using Back-Translation Models
Grammatical error correction (GEC) suffers from a lack of sufficient parallel data. Therefore, GEC studies have developed various methods to generate pseudo data, which comprise pairs of grammatical and artificially prod…
Grammatical Error CorrectionTranslationExploring the Feasibility of Multilingual Grammatical Error Correction with a Single LLM up to 9B parameters: A Comparative Study of 17 Models
Recent language models can successfully solve various language-related tasks, and many understand inputs stated in different languages. In this paper, we explore the performance of 17 popular models used to correct gramm…
Grammatical Error CorrectionN-gram Model for Chinese Grammatical Error Diagnosis
Detection and correction of Chinese grammatical errors have been two of major challenges for Chinese automatic grammatical error diagnosis.This paper presents an N-gram model for automatic detection and correction of Chi…
Language ModelingLanguage ModellingmodelRefining Word-Based Grammatical Error Annotation for L2 Korean
Korean grammatical error correction (K-GEC) presents a structural mismatch between word-based evaluation and the morpheme-level locus of many learner errors. Postpositions and verbal endings are bound to lexical hosts, b…
Grammatical Error Correction