|Vassilina Nikoulina, Bogomil Koltchev Kovatchev, Christof Monz, Nikolaos Lagos|
|EACL - 13th Conference of the European Chapter of the Association for Computational Linguistics, Avignon, France, April 23-27, 2012.|
This work proposes to adapt an existing general SMT model for the task of translating queries that are subsequently going tobe used to retrieve information from a target language collection. In the scenario that we focus on access to the document collection itself is not available and changes to the IR model are not possible. We propose two ways to achieve the adaptation effect and both of them are aimed at tuning parameter weights on a set of parallel queries. The flrst approach is via a standard tuning procedure optimizing for BLEU score and the second one is via a reranking approach optimizing for MAP score. We also extend the second approach by using syntax-based features. Our experiments showed improvements of 1-2.5 in terms of MAP score over the retrieval with the nonadapted translation. We have shown that these improvements are due both to the integration of the adaptation and syntax features for the query translation task.
You may choose which kind of cookies you allow when visiting this website. Click on "Save cookie settings" to apply your choice.
FunctionalThis website uses functional cookies which are required for the search function to work and to apply for jobs and internships.
AnalyticalOur website uses analytical cookies to make it possible to analyse our website and optimize its usability.
Social mediaOur website places social media cookies to show YouTube and Vimeo videos. Cookies placed by these sites may track your personal data.
This content is currently blocked. To view the content please either 'Accept social media cookies' or 'Accept all cookies'.
For more information on cookies see our privacy notice.