A maximum entropy approach to Chinese word segmentation

SIGHAN@IJCNLP 2005 - 4th SIGHAN Workshop on Chinese Language Processing, Proceedings of the Workshop

Volumn , Issue , 2005, Pages 161-164

  Low, Jin Kiat ^a   Ng, Hwee Tou ^a,b   Guo, Wenyuan ^b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b SINGAPORE MIT ALLIANCE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

CHINESE WORD SEGMENTATION; CHINESE WORD SEGMENTER; CITY UNIVERSITY; F MEASURE; HONG-KONG; MAXIMUM-ENTROPY APPROACHES; MICROSOFT RESEARCHES; PEKING UNIVERSITY; RESEARCH UNIVERSITIES; SEGMENTER;

ENTROPY;

EID: 85097824915     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. Hwee Tou Ng and Jin Kiat Low. 2004. Chinese part-of-speech tagging: One-at-a-time or all-at-once? word-based or character-based? In Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing (EMNLP 2004), pages 277–284.
2. Adwait Ratnaparkhi. 1998. Maximum Entropy Models for Natural Language Ambiguity Resolution. Ph.D. thesis, University of Pennsylvania.
3. Nianwen Xue and Libin Shen. 2003. Chinese word segmentation as LMR tagging. In Proceedings of the Second SIGHAN Workshop on Chinese Language Processing, pages 176–179.