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Large scale, maximum margin regression based, structural learning approach to phrase translations

Large scale, maximum margin regression based, structural learning approach to phrase translations

This video was recorded at Statistical Multilingual Analysis for Retrieval and Translation (SMART) Dissemination Workshop, Barcelona 2009. The aim of this workshop is to disseminate scientific results produced by the SMART project to the larger technical and scientific community working on Statistical Machine Translation. To facilitate this inter-exchange, it will be co-located with EAMT 2009 - 13th Annual Conference of the European Association for Machine Translation. A joint event of SMART project - Pascal Network. SMART (Statistical Multilingual Analysis for Retrieval and Translation) is a 3-year "Specific Target Research Project" (STReP) funded by the European Commission. SMART is an attempt to address different problems of Machine Translation and Cross-Language Information Retrieval and other shortcomings by the methods of modern Statistical Learning. In the first two years of the project, the scientific focus has been on developing new and more effective statistical approaches while ensuring that existing know-how is duly taken into account. By was done by bringing together leading research institutions in Statistical Learning, Machine Translation and Textual Information Access. The aim of this workshop is to disseminate scientific results and share experiences produced by the SMART project to the larger technical and scientific community. The SMART consortium considers this workshop to be a great opportunity for science investigations, creating both scientific and commercial opportunities as well as technological challenges to researchers. The workshop homepage can be found at http://patterns.enm.bris.ac.uk/smart-dissemination-workshop

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