Article | Proceedings of the Fourth International Conference on Dependency Linguistics (Depling 2017), September 18-20, 2017, UniversitĂ  di Pisa, Italy | Segmentation Granularity in Dependency Representations for Korean
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Title:
Segmentation Granularity in Dependency Representations for Korean
Author:
Jungyeul Park: Department of Linguistics, University of Arizona, USA
Download:
Full text (pdf)
Year:
2017
Conference:
Proceedings of the Fourth International Conference on Dependency Linguistics (Depling 2017), September 18-20, 2017, UniversitĂ  di Pisa, Italy
Issue:
139
Article no.:
022
Pages:
187-196
No. of pages:
10
Publication type:
Abstract and Fulltext
Published:
2017-09-13
ISBN:
978-91-7685-467-9
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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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.

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

Author:
Jungyeul Park
Title:
Segmentation Granularity in Dependency Representations for Korean
References:

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

Author:
Jungyeul Park
Title:
Segmentation Granularity in Dependency Representations for Korean
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Last updated: 2017-02-21