Anchor text mining for translation of web queries

Wen Hsiang Lu, Lee Feng Chien, Hsi Jian Lee

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

8 Citations (Scopus)

Abstract

This paper presents an approach to automatically extracting translations of Web query terms through mining of Web anchor texts and link structures. One of the existing difficulties in cross-language information retrieval (CLIR) and Web search is the lack of the appropriate translations of new terminology and proper names. Such a difficult problem can be effectively alleviated by our proposed approach, and the resource of anchor texts in the Web is proven a valuable corpus for this kind of term translation.

Original languageEnglish
Title of host publicationProceedings - 2001 IEEE International Conference on Data Mining, ICDM'01
Pages401-408
Number of pages8
Publication statusPublished - 2001 Dec 1
Event1st IEEE International Conference on Data Mining, ICDM'01 - San Jose, CA, United States
Duration: 2001 Nov 292001 Dec 2

Publication series

NameProceedings - IEEE International Conference on Data Mining, ICDM
ISSN (Print)1550-4786

Other

Other1st IEEE International Conference on Data Mining, ICDM'01
CountryUnited States
CitySan Jose, CA
Period01-11-2901-12-02

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Fingerprint Dive into the research topics of 'Anchor text mining for translation of web queries'. Together they form a unique fingerprint.

Cite this