Open Source Toolkit for Statistical Machine Translation: Factored Translation Models and Confusion Network Decoding

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Written by Koehn, P., M. Federico, et al. (2007)

The 2006 Language Engineering Workshop Open Source Toolkit for Statistical Machine Translation had the objective to advance the current state-of-the-art in statistical machine translation through richer input and richer annotation of the training data. The workshop focused on three topics: factored translation models, confusion network decoding, and the development of an open source toolkit that incorporates this advancements. This report describes the scientific goals, the novel methods, and experimental results of the workshop. It also documents details of the implementation of the open source toolkit.

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