Research to Improve Cross-Language Retrieval — Position Paper for CLEF | Zendy

Fredric C. Gey | Zendy

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Research to Improve Cross-Language Retrieval — Position Paper for CLEF

Author(s) -

Fredric C. Gey

Publication year - 2001

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-42446-6

DOI - 10.1007/3-540-44645-1_8

Subject(s) - clef , computer science , transliteration , variety (cybernetics) , natural language processing , artificial intelligence , machine translation , cross language information retrieval , romanization , resource (disambiguation) , information retrieval , linguistics , philosophy , management , economics , task (project management) , computer network

Improvement in cross-language information retrieval results can come from a variety of sources - failure analysis, resource enrichment in terms of stemming and parallel and comparable corpora, use of pivot languages, as well as phonetic transliteration and Romanization. Application of these methodologies should contribute to a gradual increase in the ability of search software to cross the language barrier.

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