Enhancing Korean Dependency Parsing with Morphosyntactic Features
This work addresses inconsistencies in linguistic analysis for Korean, a language with complex morphosyntax, by providing a more integrated approach, though it is incremental as it builds on existing frameworks.
The paper tackles the challenge of Korean's rich inflectional morphology and flexible word order by introducing UniDive, an integrated framework that unifies Universal Dependencies and Universal Morphology annotations to enhance dependency parsing, resulting in improved parsing accuracy, particularly for grammatical relations influenced by morphology.
This paper introduces UniDive for Korean, an integrated framework that bridges Universal Dependencies (UD) and Universal Morphology (UniMorph) to enhance the representation and processing of Korean {morphosyntax}. Korean's rich inflectional morphology and flexible word order pose challenges for existing frameworks, which often treat morphology and syntax separately, leading to inconsistencies in linguistic analysis. UniDive unifies syntactic and morphological annotations by preserving syntactic dependencies while incorporating UniMorph-derived features, improving consistency in annotation. We construct an integrated dataset and apply it to dependency parsing, demonstrating that enriched morphosyntactic features enhance parsing accuracy, particularly in distinguishing grammatical relations influenced by morphology. Our experiments, conducted with both encoder-only and decoder-only models, confirm that explicit morphological information contributes to more accurate syntactic analysis.