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A stochastic finite-state word-segmentation algorithm for Chinese

Published: 27 June 1994 Publication History

Abstract

We present a stochastic finite-state model for segmenting Chinese text into dictionary entries and productively derived words, and providing pronunciations for these words; the method incorporates a class-based model in its treatment of personal names. We also evaluate the system's performance, taking into account the fact that people often do not agree on a single segmentation.

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  • (2008)A joint segmenting and labeling approach for Chinese lexical analysisProceedings of the 2008th European Conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II10.5555/3121525.3121561(538-549)Online publication date: 15-Sep-2008
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  • (2002)An NLP & IR approach to topic detectionTopic detection and tracking10.5555/772260.772273(243-264)Online publication date: 1-Jan-2002
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cover image DL Hosted proceedings
ACL '94: Proceedings of the 32nd annual meeting on Association for Computational Linguistics
June 1994
353 pages

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Association for Computational Linguistics

United States

Publication History

Published: 27 June 1994

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Overall Acceptance Rate 85 of 443 submissions, 19%

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Cited By

View all
  • (2008)A joint segmenting and labeling approach for Chinese lexical analysisProceedings of the 2008th European Conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II10.5555/3121525.3121561(538-549)Online publication date: 15-Sep-2008
  • (2008)Applying Text Mining to Assist People Who Inquire HIV/AIDS Information from InternetProceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics10.1007/978-3-540-69304-8_46(440-448)Online publication date: 17-Jun-2008
  • (2002)An NLP & IR approach to topic detectionTopic detection and tracking10.5555/772260.772273(243-264)Online publication date: 1-Jan-2002
  • (2002)Backward machine transliteration by learning phonetic similarityproceedings of the 6th conference on Natural language learning - Volume 2010.3115/1118853.1118870(1-7)Online publication date: 31-Aug-2002
  • (2002)Probabilistic named entity verificationCOLING-02 on COMPUTERM 2002: second international workshop on computational terminology - Volume 1410.3115/1118771.1118777(1-7)Online publication date: 31-Aug-2002
  • (2001)Compound noun segmentation based on lexical data extracted from corpusNatural Language Engineering10.1017/S13513249010026377:2(167-185)Online publication date: 1-Jun-2001
  • (2000)Identifying temporal expression and its syntactic role using FST and lexical data from corpusProceedings of the 18th conference on Computational linguistics - Volume 210.3115/992730.992784(954-960)Online publication date: 31-Jul-2000
  • (2000)Compound noun segmentation based on lexical data extracted from corpusProceedings of the sixth conference on Applied natural language processing10.3115/974147.974174(196-203)Online publication date: 29-Apr-2000
  • (1998)Chinese word segmentation without using lexicon and hand-crafted training dataProceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics - Volume 210.3115/980691.980775(1265-1271)Online publication date: 10-Aug-1998
  • (1997)CSeg& Tag1.0Proceedings of the fifth conference on Applied natural language processing10.3115/974557.974575(119-126)Online publication date: 31-Mar-1997
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