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MISTRAL: a Statistical Machine Translation Decoder for Speech Recognition Lattices
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC 2008)
Abstract
This paper presents MISTRAL, an open source statistical machine translation decoder dedicated to spoken language translation. While typical machine translation systems take a written text as input, MISTRAL translates word lattices produced by automatic speech recognition systems. The lattices are translated in two passes using a phrase-based model. Our experiments reveal an improvement in BLEU when translating lattices instead of sentences returned by a speech recognition system.