Chinese morphological analysis with character-level POS tagging

Mo Shen; Hongxiao Liu; Daisuke Kawahara; Sadao Kurohashi

doi:10.3115/v1/p14-2042

Chinese morphological analysis with character-level POS tagging

Mo Shen, Hongxiao Liu, Daisuke Kawahara, Sadao Kurohashi

Linguistic Education

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

14 Citations (Scopus)

Abstract

The focus of recent studies on Chinese word segmentation, part-of-speech (POS) tagging and parsing has been shifting from words to characters. However, existing methods have not yet fully utilized the potentials of Chinese characters. In this paper, we investigate the usefulness of character-level part-of-speech in the task of Chinese morphological analysis. We propose the first tagset designed for the task of character-level POS tagging. We propose a method that performs character-level POS tagging jointly with word segmentation and word-level POS tagging. Through experiments, we demonstrate that by introducing character-level POS information, the performance of a baseline morphological analyzer can be significantly improved.

Original language	English
Title of host publication	Long Papers
Publisher	Association for Computational Linguistics (ACL)
Pages	253-258
Number of pages	6
ISBN (Print)	9781937284732
DOIs	https://doi.org/10.3115/v1/p14-2042
Publication status	Published - 2014
Event	52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Baltimore, MD, United States Duration: Jun 22 2014 → Jun 27 2014

Publication series

Name	52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference
Volume	2

Other

Other	52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014
Country/Territory	United States
City	Baltimore, MD
Period	6/22/14 → 6/27/14

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10.3115/v1/p14-2042

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Chinese morphological analysis with character-level POS tagging. / Shen, Mo; Liu, Hongxiao; Kawahara, Daisuke et al.
Long Papers. Association for Computational Linguistics (ACL), 2014. p. 253-258 (52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shen, M, Liu, H, Kawahara, D & Kurohashi, S 2014, Chinese morphological analysis with character-level POS tagging. in Long Papers. 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference, vol. 2, Association for Computational Linguistics (ACL), pp. 253-258, 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014, Baltimore, MD, United States, 6/22/14. https://doi.org/10.3115/v1/p14-2042

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title = "Chinese morphological analysis with character-level POS tagging",

abstract = "The focus of recent studies on Chinese word segmentation, part-of-speech (POS) tagging and parsing has been shifting from words to characters. However, existing methods have not yet fully utilized the potentials of Chinese characters. In this paper, we investigate the usefulness of character-level part-of-speech in the task of Chinese morphological analysis. We propose the first tagset designed for the task of character-level POS tagging. We propose a method that performs character-level POS tagging jointly with word segmentation and word-level POS tagging. Through experiments, we demonstrate that by introducing character-level POS information, the performance of a baseline morphological analyzer can be significantly improved.",

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AB - The focus of recent studies on Chinese word segmentation, part-of-speech (POS) tagging and parsing has been shifting from words to characters. However, existing methods have not yet fully utilized the potentials of Chinese characters. In this paper, we investigate the usefulness of character-level part-of-speech in the task of Chinese morphological analysis. We propose the first tagset designed for the task of character-level POS tagging. We propose a method that performs character-level POS tagging jointly with word segmentation and word-level POS tagging. Through experiments, we demonstrate that by introducing character-level POS information, the performance of a baseline morphological analyzer can be significantly improved.

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Chinese morphological analysis with character-level POS tagging

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