Summary of the paper
| Title | MISTRAL: a Statistical Machine Translation Decoder for Speech Recognition Lattices |
|---|---|
| Authors | Alexandre Patry and Philippe Langlais |
| 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. |
| Language | Language-independent |
| Topics | Machine Translation, SpeechToSpeech Translation, Tools, systems, applications, Multilinguality |
Full paper |
MISTRAL: a Statistical Machine Translation Decoder for Speech Recognition Lattices |
Slides |
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| Bibtex | @InProceedings{PATRY08.293, author = {Alexandre Patry and Philippe Langlais}, title = {MISTRAL: a Statistical Machine Translation Decoder for Speech Recognition Lattices}, booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)}, year = {2008}, month = {may}, date = {28-30}, address = {Marrakech, Morocco}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-4-0}, note = {http://www.lrec-conf.org/proceedings/lrec2008/}, language = {english} } |