Chinese word segmentation based on analogy and majority voting

Zongrong Zheng, Yi Wang, Yves Lepage

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015
PublisherShanghai Jiao Tong University
Pages151-156
Number of pages6
Publication statusPublished - 2015
Event29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015 - Shanghai, China
Duration: 2015 Oct 302015 Nov 1

Other

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

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Linguistics and Language

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