Chinese word segmentation based on analogy and majority voting

Zongrong Zheng, Yi Wang, Yves Lepage

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

This paper proposes a new method of Chinese word segmentation based on proportional analogy and majority voting. First, we introduce an analogy-based method for solving the word segmentation problem. Second, we show how to use majority voting to make the decision on where to segment. The preliminary results show that this approach compares well with other segmenters reported in previous studies. As an important and original feature, our method does not need any pretraining or lexical knowledge.

本文言語English
ホスト出版物のタイトル29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015
出版社Shanghai Jiao Tong University
ページ151-156
ページ数6
出版ステータスPublished - 2015
イベント29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015 - Shanghai, China
継続期間: 2015 10 302015 11 1

Other

Other29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015
国/地域China
CityShanghai
Period15/10/3015/11/1

ASJC Scopus subject areas

  • 人工知能
  • 人間とコンピュータの相互作用
  • 言語学および言語

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