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

Authors:
Fredric C. Gey
Affiliations:
-
Venue:
CLEF '00 Revised Papers from the Workshop of Cross-Language Evaluation Forum on Cross-Language Information Retrieval and Evaluation
Year:
2000

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Cited 5

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Abstract

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.