NDLI: Towards language portability in statistical speech translation

Content Provider	IEEE Xplore Digital Library
Author	Waibel, A. Schultz, T. Vogel, S. Fugen, C. Honal, M. Kolss, M. Reichert, J. Stuker, S.
Copyright Year	2004
Description	Author affiliation: Interactive Syst. Labs., Carnegie Mellon Univ., Pittsburgh, PA, USA (Waibel, A.; Schultz, T.; Vogel, S.; Fugen, C.; Honal, M.; Kolss, M.; Reichert, J.; Stuker, S.)
Abstract	Speech translation has made significant advances over the last years. We believe that we can overcome today's limits of language and domain portable conversational speech translation systems by relying more radically on learning approaches and by the use of multiple layers of reduction and transformation to extract the desired content in another language. Therefore, we cascade stochastic source-channel models that extract an underlying message from a corrupt observed output. The three models effectively translate: (1) speech to word lattices (automatic speech recognition, ASR); (2) ill-formed fragments of word strings into a compact well-formed sentence (Clean); (3) sentences in one language to sentences in another (machine translation, MT). We present results of our research efforts towards rapid language portability of all these components. The results on translation suggest that MT systems can be successfully constructed for any language pair by cascading multiple MT systems via English. Moreover, end-to-end performance can be improved, if the interlingua language is enriched with additional linguistic information that can be derived automatically and monolingually in a data-driven fashion.
File Size	235609
File Format	PDF
ISBN	0780384849
ISSN	15206149
DOI	10.1109/ICASSP.2004.1326657
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-05-17
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Natural languages Cleaning Automatic speech recognition Surface-mount technology Speech recognition Speech enhancement Interactive systems Laboratories Stochastic processes Lattices
Content Type	Text
Resource Type	Article

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