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A study of Chinese word segmentation based on the characteristics of Chinese
Han A.L.-F.; Wong D.F.; Chao L.S.; He L.; Zhu L.; Li S.
2013-11-06
Conference Name25th International Conference of the German-Society-for-Computational-Linguistics-and-Language-Technology (GSCL)
Source PublicationLANGUAGE PROCESSING AND KNOWLEDGE IN THE WEB
Volume8105 LNAI
Pages111-118
Conference DateSEP 25-27, 2013
Conference PlaceDarmstadt, GERMANY
Abstract

This paper introduces the research on Chinese word segmentation (CWS). The word segmentation of Chinese expressions is difficult due to the fact that there is no word boundary in Chinese expressions and that there are some kinds of ambiguities that could result in different segmentations. To distinguish itself from the conventional research that usually emphasizes more on the algorithms employed and the workflow designed with less contribution to the discussion of the fundamental problems of CWS, this paper firstly makes effort on the analysis of the characteristics of Chinese and several categories of ambiguities in Chinese to explore potential solutions. The selected conditional random field models are trained with a quasi-Newton algorithm to perform the sequence labeling. To consider as much of the contextual information as possible, an augmented and optimized set of features is developed. The experiments show promising evaluation scores as compared to some related works. © 2013 Springer-Verlag.

KeywordCharacteristics Of Chinese Chinese Word Segmentation Natural Language Processing Optimized Features
DOI10.1007/978-3-642-40722-2_12
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Information Systems
WOS IDWOS:000329905900012
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationUniversidade de Macau
Recommended Citation
GB/T 7714
Han A.L.-F.,Wong D.F.,Chao L.S.,et al. A study of Chinese word segmentation based on the characteristics of Chinese[C],2013:111-118.
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