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Algorithms for statistical translation of spoken language

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6 Author(s)
Ney, H. ; Lehrstuhl fur Inf., Tech. Hochschule Aachen, Germany ; Niessen, S. ; Och, F.J. ; Sawaf, H.
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We describe three approaches to statistical translation and present experimental results. The statistical translation approach uses two types of information: a translation model and a language model. The language model used is a bigram or general m-gram model. The translation model is decomposed into a lexical model and an alignment model. There are three approaches that are presented and tested in detail: the quasi-monotone alignment approach, the inverted alignment approach, and the alignment template approach. For each of these three approaches, a suitable search method is presented. The system has been tested on a limited-domain spoken-language task for which a bilingual corpus is available: the Verbmobil task (German-English, 7000-word vocabulary). We present experimental results for each of the three approaches. The experimental tests were performed on both the text transcription and the speech recognizer output

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Speech and Audio Processing, IEEE Transactions on  (Volume:8 ,  Issue: 1 )