Combining query translation techniques to improve cross-language information retrieval

Authors:
Benjamin Herbert;György Szarvas;Iryna Gurevych
Affiliations:
Ubiquitous Knowledge Processing Lab, Computer Science Department, Technische Universität Darmstadt, Darmstadt, Germany;Ubiquitous Knowledge Processing Lab, Computer Science Department, Technische Universität Darmstadt, Darmstadt, Germany;Ubiquitous Knowledge Processing Lab, Computer Science Department, Technische Universität Darmstadt, Darmstadt, Germany
Venue:
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Year:
2011

Citing 6
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Abstract

In this paper we address the combination of query translation approaches for cross-language information retrieval (CLIR). We translate queries with Google Translate and extend them with new translations obtained by mapping noun phrases in the query to concepts in the target language using Wikipedia. For two CLIR collections, we show that the proposed model provides meaningful translations that improve the strong baseline CLIR model based on a top performing SMT system.