Moses: Open source toolkit for statistical machine translation
Abstract
We describe an open-source toolkit for statistical machine translation whose novel
contributions are (a) support for linguistically motivated factors,(b) confusion network
decoding, and (c) efficient data formats for translation models and language models. In
addition to the SMT decoder, the toolkit also includes a wide variety of tools for training,
tuning and applying the system to many translation tasks.
contributions are (a) support for linguistically motivated factors,(b) confusion network
decoding, and (c) efficient data formats for translation models and language models. In
addition to the SMT decoder, the toolkit also includes a wide variety of tools for training,
tuning and applying the system to many translation tasks.
