MOOD: A Modular Object-Oriented Decoder for Statistical Machine Translation
نویسندگان
چکیده
We present an Open Source framework called MOOD developed in order to facilitate the development of a Statistical Machine Translation Decoder. MOOD has been modularized using an object-oriented approach which makes it especially suitable for the fast development of state-of-the-art decoders. As a proof of concept, a clone of the PHARAOH decoder has been implemented and evaluated. This clone named RAMSES is part of the current distribution of MOOD.
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