This paper describes the application of N-best lists to a spoken language translation system. Multiple hypotheses are generated both by the speech recognizer and by the statistical machine translator; they are nally re-ranked by optimally weighting recognition and translation scores, estimated in an integrated scheme. We provide experimental results for the Italian-to-English direction on the BTEC corpus, a collection of sentences in the touristic domain developed within the C-STAR project.
Integrated N-best Re-ranking for Spoken Language Translation
Federico, Marcello;Cettolo, Mauro
2005-01-01
Abstract
This paper describes the application of N-best lists to a spoken language translation system. Multiple hypotheses are generated both by the speech recognizer and by the statistical machine translator; they are nally re-ranked by optimally weighting recognition and translation scores, estimated in an integrated scheme. We provide experimental results for the Italian-to-English direction on the BTEC corpus, a collection of sentences in the touristic domain developed within the C-STAR project.File in questo prodotto:
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