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The PRESEMT (Pattern REcognition-based Statistically Enhanced MT) project has been funded under "ICT-2009.2.2: Language-based Interaction". It is intended to lead to 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. compilation of extensive bilingual corpora or creation of new rules per language pair. PRESEMT will address the issue of effectively managing multilingual content and is expected to suggest a language-independent machine-learning-based methodology.
Download PRESEMT!
Download a fully-functional version of the PRESEMT Machine Translation System for translating German or Greek to English.
News
January 25, 2012
PRESEMT 2nd Annual Review
The 2nd Annual Review of the PRESEMT project was held in Athens, with a very positive outcome for the project.
September 27, 2011
GFAI presented a paper titled "Using annotated corpora for rapid development of new language pairs in MT" at the GSCL 2011.
July 25-29, 2011
PRESEMT was presented within the 25th European Conference on Object-Oriented Programming (ECOOP 2011)". Watch the presentation online!
May 30-31, 2011
PRESEMT was presented within the project presentation session of EAMT 2011. Marina Vassiliou (ILSP team) also presented a paper on the Phrase aligner module.
