Relevance feedback and cross-language information retrieval

Article

Orengo, V. and Huyck, C. 2006. Relevance feedback and cross-language information retrieval. Information Processing and Management. 42 (5), pp. 1203-1217. https://doi.org/10.1016/j.ipm.2005.12.003
TypeArticle
TitleRelevance feedback and cross-language information retrieval
AuthorsOrengo, V. and Huyck, C.
Abstract

This paper compares the use of hand translated and automatically translated documents in a relevance feedback experiment with cross linguistic information retrieval. The documents are translated by hand, and automatically, and a range of subjects is used. Subjects report that the automatic translations are poor and that they do not understand them. Despite this, the use of automatic translation from manual translation leads to indistinguishable results with relevance feedback. That is the subjects correctly report the documents are relevant or not with equal probability whether the documents are hand or machine translated, showing the immediate benefit of current AI systems.

Keywordscross-language information retrieval; relevance feedback
Research GroupArtificial Intelligence group
PublisherElsevier
JournalInformation Processing and Management
ISSN0306-4573
Electronic1873-5371
Publication dates
Online24 Feb 2006
PrintSep 2006
Publication process dates
Deposited17 Oct 2008
Accepted22 Dec 2005
Submitted24 Aug 2005
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1016/j.ipm.2005.12.003
Web of Science identifierWOS:000238550100006
LanguageEnglish
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