Designing special post-processing rules for SVM-based Chinese word segmentation

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

Volumn , Issue , 2006, Pages 217-220

  Zhu, Muhua ^a   Wang, Yilin ^a   Wang, Zhenxing ^a   Wang, Huizhen ^a   Zhu, Jingbo ^a  

^a NORTHEASTERN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

CHINESE WORD SEGMENTATION; CHINESE WORD SEGMENTER; CITY UNIVERSITY; HONG-KONG; MICROSOFT RESEARCHES; PENNSYLVANIA; POST-PROCESSING; SEGMENTER; SUPPORT VECTORS MACHINE; UNIVERSITY OF COLORADO;

SUPPORT VECTOR MACHINES;

EID: 77953784160     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. 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.
2. Vladimir N. Vapnik. 1995. The Nature of Statistical Learning Theory. Berlin: Springer-Verlag.
3. Jin Kiat Low, Hwee Tou Ng and Wenyuan Guo. 2005. A Maximum Entropy Approach to Chinese Word Segmentation. In Proceeding of the Fifth SIGHAN Workshop on Chinese Language Processing, pages 161-164.
4. Eric.Brill. 1995. Transformation-based error-driven learning and natural language processing:A case study in part-of-speech tagging. Computational Linguistics, 21(4):543-565.