7 papers · 1 filter
A Layered Taxonomy for Chinese Learner Grammatical Error Annotation
Mengyang Qiu, Jungyeul Park
Grammatical error annotation in Chinese learner writing requires labels that are both consistent and linguistically meaningful. This paper proposes a layered scheme linking computa…
Non-binary bottom-up constituency parsing without arity actions
Jungyeul Park, Eunkyul Leah Jo, Zihao Huang
Non-binary bottom-up constituency parsing commonly uses arity-specific reductions such as \(\textsc{Reduce-}X\#k\), which jointly specify the mother label and number of children. W…
Refining Word-Based Grammatical Error Annotation for L2 Korean
Jungyeul Park, Kyungtae Lim, Wonjun Oh +4
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 verb…
A Formal Framework for Fluency-based Multi-Reference Evaluation in Grammatical Error Correction
Eitan Klinger, Zihao Huang, Tran Minh Nguyen +7
Evaluating grammatical error correction requires metrics that reflect the diversity of valid human corrections rather than privileging a single reference. Existing frameworks, larg…
Multilingual Grammatical Error Annotation: Combining Language-Agnostic Framework with Language-Specific Flexibility
Mengyang Qiu, Tran Minh Nguyen, Zihao Huang +5
Grammatical Error Correction (GEC) relies on accurate error annotation and evaluation, yet existing frameworks, such as , face limitations when extended to typolog…
Chinese Grammatical Error Correction: A Survey
Mengyang Qiu, Qingyu Gao, Linxuan Yang +4
Chinese Grammatical Error Correction (CGEC) is a critical task in Natural Language Processing, addressing the growing demand for automated writing assistance in both second-languag…