A hybrid approach to word segmentation and POS tagging

Proceedings of the Annual Meeting of the Association for Computational Linguistics

Volumn , Issue , 2007, Pages 217-220

  Nakagawa, Tetsuji ^a   Uchimoto, Kiyotaka ^b  

^a OKI ELECTRIC INDUSTRY CO   (Japan)

^b NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMBINED SEGMENTATIONS; HIGH-ACCURACY; HYBRID APPROACH; HYBRID METHOD; INTEGRATED METHOD; MULTIPLE CORPORA; TARGET LANGUAGE; WORD SEGMENTATION;

COMPUTATIONAL LINGUISTICS;

EID: 85118770354     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Taku Kudo, Kaoru Yamamoto, and Yuji Matsumoto. 2004. Applying Conditional Random Fields to Japanese Morphological Analysis. In Proceedings of EMNLP 2004, pages 230–237.
2. Sadao Kurohashi and Makoto Nagao. 1998. Japanese Morphological Analysis System JUMAN version 3.61. Department of Informatics, Kyoto University. (in Japanese).
3. Tetsuji Nakagawa. 2004. Chinese and Japanese Word Segmentation Using Word-Level and Character-Level Information. In Proceedings of COLING 2004, pages 466–472.
4. 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 EMNLP 2004, pages 277–284.
5. Nianwen Xue. 2003. Chinese Word Segmentation as Character Tagging. International Journal of Computational Linguistics and Chinese, 8(1):29–48.