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
Type | Article |
---|---|
Title | Relevance feedback and cross-language information retrieval |
Authors | Orengo, 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. |
Keywords | cross-language information retrieval; relevance feedback |
Research Group | Artificial Intelligence group |
Publisher | Elsevier |
Journal | Information Processing and Management |
ISSN | 0306-4573 |
Electronic | 1873-5371 |
Publication dates | |
Online | 24 Feb 2006 |
Sep 2006 | |
Publication process dates | |
Deposited | 17 Oct 2008 |
Accepted | 22 Dec 2005 |
Submitted | 24 Aug 2005 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.ipm.2005.12.003 |
Web of Science identifier | WOS:000238550100006 |
Language | English |
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