Chinese sentence similarity measure based on word sequence length and word weight

Rongbo Wang, Zheru Chi, Baobao Chang, Xiaojing Bai

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

This paper proposes an improved Chinese sentence similarity measure for example-based Chinese to English translation. The length of identical word sequence and the weights of words in the sequence are considered in this method. The preliminary experimental results show that the measure work is well when it is tested on a small dataset.
Original languageEnglish
Pages (from-to)142-144
Number of pages3
JournalJisuanji Gongcheng/Computer Engineering
Volume31
Issue number13
Publication statusPublished - 5 Jul 2005

Keywords

  • Chinese-English machine translation
  • Example-based machine translation (EBMT)
  • Natural language processing
  • Sentence similarity measure

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications
  • Computer Graphics and Computer-Aided Design
  • Computational Theory and Mathematics

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