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Pattern REcognition-based Statistically Enhanced MT (PRESEMT)

Start date: Jan 1, 2010, End date: Dec 31, 2012,

This proposal describes PRESEMT, a flexible and adaptable MT system, based on a language-independent method, whose principles ensure easy portability to new language pairs. This method attempts to overcome well-known problems of other MT approaches, e.g. bilingual corpora compilation or creation of new rules per language pair. PRESEMT will address the issue of effectively managing multilingual con ...
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 FINISHED 
...at you learn. Research shows that you can learn 30-100 words in an hour which is far more efficient than conventional learning methods. The most frequent words will be developed in cooperation with lexical computational centers in each language's country. The project will refine existing frequency lists and adapt them to the Framework. "If you know the most frequent 1,500 words in a language, then ...
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