Conference article

Segmentation Granularity in Dependency Representations for Korean

Jungyeul Park
Department of Linguistics, University of Arizona, USA

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Published in: Proceedings of the Fourth International Conference on Dependency Linguistics (Depling 2017), September 18-20, 2017, Università di Pisa, Italy

Linköping Electronic Conference Proceedings 139:22, p. 187-196

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Published: 2017-09-13

ISBN: 978-91-7685-467-9

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

Previous work on Korean language processing has proposed different basic segmentation units. This paper explores different possible dependency representations for Korean using different levels of segmentation granularity — that is, different schemes for morphological segmentation of tokens into syntactic words. We provide a new Universal Dependencies (UD)-like corpus based on different levels of segmentation granularity for Korean. The corpus contains 67K words in 5,000 sentences which are split into training, development and evaluation data sets. We report parsing results using the new dependency corpus for Korean and compare them with the previous Korean UD corpus.

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