Strategy
High competence within a broad spectrum of Computer and Information Science. To offer the best education in the country and conduct top of the line research, one needs to understand the complexities and correlations between the subfields.
We seek to spearhead the evolution and development of new standards, technology, and innovations through our research groups and projects. Offering PhD studies to help educate the researchers of tomorrow.
Projects > Spotlight
PRESEMT - Pattern REcognition-based Statistically Enhanced Machine Translation
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.
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