Experiments on Cross-Language Information Retrieval Using Comparable Corpora of Chinese, Japanese, and Korean Languages

Kazuaki Kishida, Kuang Hua Chen

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This paper describes research activities for exploring techniques of cross-language information retrieval (CLIR) during the NACSIS Test Collection for Information Retrieval/NII Testbeds and Community for Information access Research (NTCIR)-1 to NTCIR-6 evaluation cycles, which mainly focused on Chinese, Japanese, and Korean (CJK) languages. First, general procedures and techniques of CLIR are briefly reviewed. Second, document collections that were used for the research tasks and test collection construction for retrieval experiments are explained. Specifically, CLIR tasks from NTCIR-3 to NTCIR-6 utilized multilingual corpora consisting of newspaper articles that were published in Taiwan, Japan, and Korea during the same time periods. A set of articles can be considered a “pseudo” comparable corpus because many events or affairs are commonly covered across languages in the articles. Such comparable corpora are helpful for comparing the performance of CLIR between pairs of CJK and English. This comparison leads to deeper insights into CLIR techniques. NTCIR CLIR tasks have been built on the basis of test collections that incorporate such comparable corpora. We summarize the technical advances observed in these CLIR tasks at the end of the paper.

Original languageEnglish
Title of host publicationInformation Retrieval Series
PublisherSpringer Nature
Pages21-37
Number of pages17
DOIs
Publication statusPublished - 2021

Publication series

NameInformation Retrieval Series
Volume43
ISSN (Print)1871-7500

ASJC Scopus subject areas

  • Information Systems
  • Library and Information Sciences

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