15 papers
Lexically conditioned realization ambiguity in Korean predicate morphology
Wonjun Oh, KyungTae Lim, Jungyeul Park
This paper examines Korean surface realization as distinct from morphological analysis. It asks whether a sequence of canonical morphemes and grammatical category labels uniquely d…
Representing and Parsing Korean Constituency Structure at Different Levels of Granularity
Jungyeul Park, KyungTae Lim, Zihao Huang +3
Korean constituency parsing raises a representational challenge because the terminal units of a phrase-structure tree do not straightforwardly correspond to simple surface words. K…
TELLME: Test-Enhanced Learning for Language Model Enrichment
Minjun Kim, Inho Won, Hyeonseok Lim +6
Continual pre-training (CPT) has been widely adopted as a method for domain adaptation in large language models. However, CPT has consistently been accompanied by challenges, such…
Annotating Korean adnominal ending constructions in corpus data: Beyond relative-clause identification
Jungyeul Park, Chulwoo Park
The Korean adnominal ending \texttt{ETM} occurs in diverse noun-modifying constructions, including relative-clause-like modifiers, adjectival and copular forms, bound-noun construc…
Better heads do not guarantee better binarized constituency parsing
Zeyao Qi, Yige Chen, Eitan Klinger +2
We revisit punctuation-aware tree binarization for constituency parsing and ask whether dependency-induced headedness improves binary parser supervision. Although learned heads sub…
Chinese Word Boundary Recovery through Character Alignment Projection
Lusha Wang, Yuchen Li, Su Yuan +1
Chinese word segmentation is especially fragile in non-standard text, where language learner errors and other character-level divergences disrupt the word boundaries assumed by dow…
Learning Constituent Headedness
Zeyao Qi, Yige Chen, KyungTae Lim +2
Headedness is widely used as an organizing device in syntactic analysis, yet constituency treebanks rarely encode it explicitly and most processing pipelines recover it procedurall…
TREX: Tokenizer Regression for Optimal Data Mixture
Inho Won, Hangyeol Yoo, Minkyung Cho +3
Building effective tokenizers for multilingual Large Language Models (LLMs) requires careful control over language-specific data mixtures. While a tokenizer's compression performan…
Constituency Structure over Eojeol in Korean Treebanks
Jungyeul Park, Chulwoo Park
The design of Korean constituency treebanks raises a central representational question concerning the choice of terminal units. Although Korean words are morphologically complex, t…
Enriching the Korean Learner Corpus with Multi-reference Annotations and Rubric-Based Scoring
Jayoung Song, KyungTae Lim, Jungyeul Park
Despite growing global interest in Korean language education, there remains a significant lack of learner corpora tailored to Korean L2 writing. To address this gap, we enhance the…
Enhancing Korean Dependency Parsing with Morphosyntactic Features
Jungyeul Park, Yige Chen, Kyuwon Kim +2
This paper introduces UniDive for Korean, an integrated framework that bridges Universal Dependencies (UD) and Universal Morphology (UniMorph) to enhance the representation and pro…
Parsing Through Boundaries in Chinese Word Segmentation
Yige Chen, Zelong Li, Cindy Zhang +7
Chinese word segmentation is a foundational task in natural language processing (NLP), with far-reaching effects on syntactic analysis. Unlike alphabetic languages like English, Ch…
K-UD: Revising Korean Universal Dependencies Guidelines
Kyuwon Kim, Yige Chen, Eunkyul Leah Jo +3
Critique has surfaced concerning the existing linguistic annotation framework for Korean Universal Dependencies (UDs), particularly in relation to syntactic relationships. In this…
Unlocking Korean Verbs: A User-Friendly Exploration into the Verb Lexicon
Seohyun Song, Eunkyul Leah Jo, Yige Chen +7
The Sejong dictionary dataset offers a valuable resource, providing extensive coverage of morphology, syntax, and semantic representation. This dataset can be utilized to explore l…
jp-evalb: Robust Alignment-based PARSEVAL Measures
Jungyeul Park, Junrui Wang, Eunkyul Leah Jo +1
We introduce an evaluation system designed to compute PARSEVAL measures, offering a viable alternative to \texttt{evalb} commonly used for constituency parsing evaluation. The wide…