Document (#25031)

Author
Ballesteros, L.A.
Title
Cross-language retrieval via transitive relation
Source
Advances in information retrieval: Recent research from the Center for Intelligent Information Retrieval. Ed.: W.B. Croft
Imprint
Boston, MA : Kluwer Academic Publ.
Year
2000
Pages
S.203-234
Series
The Kluwer international series on information retrieval; 7
Abstract
The growth in availability of multi-lingual data in all areas of the public and private sector is driving an increasing need for systems that facilitate access to multi-lingual resources. Cross-language Retrieval (CLR) technology is a means of addressing this need. A CLR system must address two main hurdles to effective cross-language retrieval. First, it must address the ambiguity that arises when trying to map the meaning of text across languages. That is, it must address both within-language ambiguity and cross-language ambiguity. Second, it has to incorporate multilingual resources that will enable it to perform the mapping across languages. The difficulty here is that there is a limited number of lexical resources and virtually none for some pairs of languages. This work focuses on a dictionary approach to addressing the problem of limited lexical resources. A dictionary approach is taken since bilingual dictionaries are more prevalent and simpler to apply than other resources. We show that a transitive translation approach, where a third language is employed as an interlingua between the source and target languages, is a viable means of performing CLR between languages for which no bilingual dictionary is available
Theme
Computerlinguistik
Multilinguale Probleme

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