Chinese word segmentation based on direct maximum entropy model

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

Volumn , Issue , 2005, Pages 193-195

  Shi, Wu Guang ^a  

^a PEKING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ENTROPY;

CHINESE INFORMATION PROCESSING; CHINESE WORD SEGMENTATION; GENERAL DESCRIPTION; LEXICAL ANALYZERS; MAXIMUM ENTROPY MODELS; PERFORMANCE; UNIFIED APPROACH;

COMPUTATIONAL LINGUISTICS;

EID: 34250747595     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (2)

1. Franz J. Och and Hermann Ney. 2002. Discriminative training and maximum entropy models for statistical machine translation. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL), pages 295-302, Philadelphia, PA, July.
2. Gao, Jianfeng, Mu Li and Chang-Ning Huang. 2003. Improved source-channel model for Chinese word segmentation. In: ACL2003.