PRESEMT: pattern recognition-based statistically enhanced MT

Authors:
George Tambouratzis;Marina Vassiliou;Sokratis Sofianopoulos
Affiliations:
Institute for Language and Speech Processing, Athena R. C., Athens, Greece;Institute for Language and Speech Processing, Athena R. C., Athens, Greece;Institute for Language and Speech Processing, Athena R. C., Athens, Greece
Venue:
EACL 2012 Proceedings of the Joint Workshop on Exploiting Synergies between Information Retrieval and Machine Translation (ESIRMT) and Hybrid Approaches to Machine Translation (HyTra)
Year:
2012

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Abstract

This document contains a brief presentation of the PRESEMT project that aims in the development of a novel language-independent methodology for the creation of a flexible and adaptable MT system.