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 |
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Title of host publication | Long Papers |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 253-258 |
Number of pages | 6 |
Volume | 2 |
ISBN (Print) | 9781937284732 |
Publication status | Published - Jan 1 2014 |
Event | 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Baltimore, MD, United States Duration: Jun 22 2014 → Jun 27 2014 |
Other
Other | 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 |
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Country | United States |
City | Baltimore, MD |
Period | 6/22/14 → 6/27/14 |
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Chinese morphological analysis with character-level POS tagging. / Shen, Mo; Liu, Hongxiao; Kawahara, Daisuke; Kurohashi, Sadao.
Long Papers. Vol. 2 Association for Computational Linguistics (ACL), 2014. p. 253-258.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Chinese morphological analysis with character-level POS tagging
AU - Shen, Mo
AU - Liu, Hongxiao
AU - Kawahara, Daisuke
AU - Kurohashi, Sadao
PY - 2014/1/1
Y1 - 2014/1/1
N2 - 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.
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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UR - http://www.scopus.com/inward/citedby.url?scp=84906932783&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84906932783
SN - 9781937284732
VL - 2
SP - 253
EP - 258
BT - Long Papers
PB - Association for Computational Linguistics (ACL)
ER -