Applies established seq2seq neural networks to convert text to Spanish sign language for humanoid robot TEO, proposing OpenPose for skeleton data collection to handle sequence length differences and non-manual markers.
Statistical Sign Language Machine Translation: from English written text to American Sign Language Gloss
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abstract
This works aims to design a statistical machine translation from English text to American Sign Language (ASL). The system is based on Moses tool with some modifications and the results are synthesized through a 3D avatar for interpretation. First, we translate the input text to gloss, a written form of ASL. Second, we pass the output to the WebSign Plug-in to play the sign. Contributions of this work are the use of a new couple of language English/ASL and an improvement of statistical machine translation based on string matching thanks to Jaro-distance.
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cs.RO 1years
2019 1verdicts
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Sequence-to-Sequence Natural Language to Humanoid Robot Sign Language
Applies established seq2seq neural networks to convert text to Spanish sign language for humanoid robot TEO, proposing OpenPose for skeleton data collection to handle sequence length differences and non-manual markers.