A Hybrid Approach for Machine Translation Based on Cross-language Information Retrieval

This paper presents a hybrid approach for Machine Translation (MT) based on Cross-language Information Retrieval (CLIR). This approach uses linguistic and statistical processing and does not need parallel corpora as linguistic resources. A first experimental evaluation of this approach has been done on the CESTA corpus and the obtained results seem good and encouraging. The next step is the TALK evaluation of the IWSLT2010 Workshop.

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