Yet Another Format of Universal Dependencies for Korean

  • Yige Chen
  • , Eunkyul Leah Jo
  • , Yundong Yao
  • , Kyung Tae Lim
  • , Miikka Silfverberg
  • , Francis M. Tyers
  • , Jungyeul Park

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

In this study, we propose a morpheme-based scheme for Korean dependency parsing and adopt the proposed scheme to Universal Dependencies. We present the linguistic rationale that illustrates the motivation and the necessity of adopting the morpheme-based format, and develop scripts that convert between the original format used by Universal Dependencies and the proposed morpheme-based format automatically. The effectiveness of the proposed format for Korean dependency parsing is then testified by both statistical and neural models, including UDPipe and Stanza, with our carefully constructed morpheme-based word embedding for Korean. MORPHUD outperforms parsing results for all Korean UD treebanks, and we also present detailed error analyses.

Original languageEnglish
Pages (from-to)5432-5437
Number of pages6
JournalProceedings - International Conference on Computational Linguistics, COLING
Volume29
Issue number1
StatePublished - 2022
Event29th International Conference on Computational Linguistics, COLING 2022 - Hybrid, Gyeongju, Korea, Republic of
Duration: 12 Oct 202217 Oct 2022

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