A hybrid approach to word segmentation and POS tagging

  • Authors:
  • Tetsuji Nakagawa;Kiyotaka Uchimoto

  • Affiliations:
  • Oki Electric Industry Co., Ltd., Chuo-ku, Osaka, Japan;National Institute of Information and Communications Technology, Soraku-gun, Kyoto, Japan

  • Venue:
  • ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
  • Year:
  • 2007

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Abstract

In this paper, we present a hybrid method for word segmentation and POS tagging. The target languages are those in which word boundaries are ambiguous, such as Chinese and Japanese. In the method, word-based and character-based processing is combined, and word segmentation and POS tagging are conducted simultaneously. Experimental results on multiple corpora show that the integrated method has high accuracy.