Yet Another Format of Universal Dependencies for Korean
This work addresses parsing challenges for Korean language processing, though it appears incremental as it adapts an existing framework with format modifications.
The authors proposed a morpheme-based scheme for Korean dependency parsing and adapted it to Universal Dependencies, developing conversion scripts between formats. Their morphUD approach outperformed existing methods on all Korean UD treebanks using statistical and neural models with custom morpheme-based embeddings.
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.