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2007
Springer

Using Query-Relevant Documents Pairs for Cross-Lingual Information Retrieval

8 years 10 months ago
Using Query-Relevant Documents Pairs for Cross-Lingual Information Retrieval
The world wide web is a natural setting for cross-lingual information retrieval. The European Union is a typical example of a multilingual scenario, where multiple users have to deal with information published in at least 20 languages. Given queries in some source language and a target corpus in another language, the typical approximation consists in translating either the query or the target dataset to the other language. Other approaches use parallel corpora to obtain a statistical dictionary of words among the different languages. In this work, we propose to use a training corpus made up by a set of QueryRelevant Document Pairs (QRDP) in a probabilistic cross-lingual information retrieval approach which is based on the IBM alignment model 1 for statistical machine translation. Our approach has two main advantages over those that use direct translation and parallel corpora: we will not obtain a translation of the query, but a set of associated words which share their meaning in some...
David Pinto, Alfons Juan, Paolo Rosso
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where TSD
Authors David Pinto, Alfons Juan, Paolo Rosso
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