Syntagmatic and paradigmatic representations of term variation
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Overview of the CLEF 2005 multilingual question answering track
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
CLEF 2004: ad hoc track overview and results analysis
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Answering french questions in english by exploiting results from several sources of information
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Finding an answer to a question
Proceedings of the 2006 international workshop on Research issues in digital libraries
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For our second participation to the Question Answering task of CLEF, we kept last year’s system named MUSCLEF, which uses two different translation strategies implemented in two modules. The multilingual module MUSQAT analyzes the French questions, translates “interesting parts”, and then uses these translated terms to search the reference collection. The second strategy consists in translating the question into English and applying QALC our existing English module. Our purpose in this paper is to analyze term translations and propose a mechanism for selecting correct ones. The manual evaluation of bi-terms translations leads us to the conclusion that the bi-term translations found in the corpus can confirm the mono-term translations.