Automatic Czech - sign speech translation

Authors:
Jakub Kanis;Ludě'k Müller
Affiliations:
University of West Bohemia, Faculty of Applied Sciences, Department of Cybernetics, Pilsen, Czech Republic;University of West Bohemia, Faculty of Applied Sciences, Department of Cybernetics, Pilsen, Czech Republic
Venue:
TSD'07 Proceedings of the 10th international conference on Text, speech and dialogue
Year:
2007

Citing 4
Cited 1

Statistical phrase-based translation

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Moses: open source toolkit for statistical machine translation

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Translation and conversion for Czech sign speech synthesis

TSD'07 Proceedings of the 10th international conference on Text, speech and dialogue
Czech-Sign speech corpus for semantic based machine translation

TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue

Translation and conversion for Czech sign speech synthesis

TSD'07 Proceedings of the 10th international conference on Text, speech and dialogue

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Abstract

This paper is devoted to the problem of automatic translation between Czech and SC in both directions. We introduced our simple monotone phrase-based decoder - SiMPaD suitable for fast translation and compared its results with the results of the state-of-the-art phrase-based decoder - MOSES. We compare the translation accuracy of handcrafted and automatically derived phrases and introduce a "class-based" language model and post-processing step in order to increase the translation accuracy according to several criteria. Finally, we use the described methods and decoding techniques in the task of SC to Czech automatic translation and report the first results for this direction.