Chinese word segmentation with maximum entropy and N-gram language model

COLING/ACL 2006 - 5th SIGHAN Workshop on Chinese Language Processing, Proceedings of the Workshop

Volumn , Issue , 2006, Pages 138-141

  Xinhao, Wang ^a   Xiaojun, Lin ^a   Dianhai, Yu ^a   Hao, Tian ^a   Xihong, Wu ^a  

^a PEKING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AUDITION; CLASSIFICATION (OF INFORMATION); COMPUTATIONAL LINGUISTICS; ENTROPY; NATURAL LANGUAGE PROCESSING SYSTEMS;

CHINESE WORD SEGMENTATION; CHINESE WORD SEGMENTATION SYSTEMS; HEARING RESEARCHES; MACHINE PERCEPTION; MAXIMUM-ENTROPY; N-GRAM LANGUAGE MODELS; NATIONAL LABORATORY; ON-MACHINES; RESEARCH GROUPS; SPEECH RESEARCH;

COMPUTER VISION;

EID: 85119979405     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. Jin Kiat Low, Hwee Tou Ng and Wenyuan Guo. A maximum Entropy Approach to Chinese Word Segmentation. 2005. Preceedings of the Fourth SIGHAN Workshop on Chinese Language Processing, pp. 161-164.
2. Hwee Tou Ng and Jin Kiat Low. Chinese part-of-speech tagging: One-at-a-time or all-at-once? word-based or character-based? 2004. Preceedings of the 2004 Conference on Empirical Methods in Natural Language Processing(EMNLP), pp. 277-284.
3. Zhang Huaping and Liu Qun. Model of Chinese Words Rough Segmentation Based on N-Shortest-Paths Method. 2002. Journal of Chinese Information Processing, 28(1):pp. 1-7.