• DocumentCode
    2792259
  • Title

    Research on Chinese-English Cross-Language Information Retrieval

  • Author

    Zhang, Tao ; Zhang, Yue-jie

  • Author_Institution
    Sch. of Inf. Manage. & Eng., Shanghai Univ. of Finance & Econ., Shanghai
  • Volume
    5
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    2591
  • Lastpage
    2596
  • Abstract
    With the rapid growing amount of available information, an important problem is formed, to match the user queries specified in one language against documents in another different language, i.e. cross-language information retrieval. Based on the work for cross-language information retrieval evaluation task in the 9th Text Retrieval Conference, a Chinese-English cross-language information retrieval pattern has been constructed. In this pattern, Chinese-English query translation is adopted as the dominant strategy, Chinese queries are used as translation objects, and Chinese-English machine readable dictionaries are utilized as the important knowledge source to acquire correct translations. By combining English monolingual information retrieval module constructed, the Chinese-English cross-language information retrieval process can be implemented successfully.
  • Keywords
    natural language processing; query processing; 9th Text Retrieval Conference; Chinese-English cross-language information retrieval; Chinese-English query translation; English monolingual information retrieval module; knowledge source; machine readable dictionaries; translation objects; Computer science; Cybernetics; Dictionaries; Finance; Indexing; Information management; Information retrieval; Machine learning; NIST; Natural languages; Cross-language information retrieval; Information retrieval; Machine readable dictionary; Machine translation; Word segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620845
  • Filename
    4620845