Efficient Speech Translation Through Confusion Network Decoding

This paper describes advances in the use of confusion networks as interface between automatic speech recognition and machine translation. In particular, it presents a decoding algorithm for confusion networks which results as an extension of a state-of-the-art phrase-based text translation decoder....

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Bibliographic Details
Published in:IEEE transactions on audio, speech, and language processing speech, and language processing, 2008-11, Vol.16 (8), p.1696-1705
Main Authors: Bertoldi, N., Zens, R., Federico, M., Shen, W.
Format: Article
Language:English
Subjects:
Applied sciences
Automatic speech recognition
Coding, codes
Computer errors
Confusion
Confusion network decoder
Decoders
Decoding
Exact sciences and technology
Information processing
Information, signal and communications theory
Machine translation
Miscellaneous
Natural languages
Networks
Open source software
Signal and communications theory
Signal processing
Speech
Speech analysis
Speech processing
Speech recognition
speech translation
Telecommunications and information theory
Texts
Transducers
Translations
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Summary:This paper describes advances in the use of confusion networks as interface between automatic speech recognition and machine translation. In particular, it presents a decoding algorithm for confusion networks which results as an extension of a state-of-the-art phrase-based text translation decoder. The confusion network decoder significantly improves both in efficiency and performance over previous work along this direction, and outperforms the background text translation system. Experimental results in terms of translation accuracy and decoding efficiency are reported for the task of translating plenary speeches of the European Parliament from Spanish to english and from english to Spanish.
ISSN:1558-7916
2329-9290
1558-7924
2329-9304
DOI:10.1109/TASL.2008.2002054