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MOOD: A Modular Object-Oriented Decoder for Statistical Machine Translation
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC 2006)
Abstract
We present an Open Source framework called MOOD developed in order tofacilitate the development of a Statistical Machine Translation Decoder.MOOD has been modularized using an object-oriented approach which makes itespecially suitable for the fast development of state-of-the-art decoders. Asa proof of concept, a clone of the pharaoh decoder has been implemented andevaluated. This clone named ramses is part of the current distribution of MOOD.