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2007
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Enhancing a Sign Language Translation System with Vision-Based Features

9 years 4 months ago
Enhancing a Sign Language Translation System with Vision-Based Features
Abstract. In automatic sign language translation, one of the main problems is the usage of spatial information in sign language and its proper representation and translation, e.g. the handling of spatial reference points in the signing space. Such locations are encoded at static points in signing space as spatial references for motion events. We present a new approach starting from a large vocabulary speech recognition system which is able to recognize sentences of continuous sign language speaker independently. The manual features obtained from the tracking are passed to the statistical machine translation system to improve its accuracy. On a publicly available benchmark database, we achieve a competitive recognition performance and can similarly improve the translation performance by integrating the tracking features.
Philippe Dreuw, Daniel Stein, Hermann Ney
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where GW
Authors Philippe Dreuw, Daniel Stein, Hermann Ney
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