A Hybrid Approach to Word Segmentation and POS Tagging

  title={A Hybrid Approach to Word Segmentation and POS Tagging},
  author={Tetsuji Nakagawa and Kiyotaka Uchimoto},
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. 
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