Generalizing a model for animating adverbs of manner in American Sign Language
This work aims to show that a model produced to generate adverbs of manner can be generalized and applied to a variety of neutral animated signs for avatar sign language synthesis. This paper presents the generalization of a new approach that was first presented at SLTAT 2019 in Hamburg for modeling...
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| Veröffentlicht in: | Machine translation 2021-09, Vol.35 (3), p.345-362 |
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| container_title | Machine translation |
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| creator | Moncrief, Robyn |
| description | This work aims to show that a model produced to generate adverbs of manner can be generalized and applied to a variety of neutral animated signs for avatar sign language synthesis. This paper presents the generalization of a new approach that was first presented at SLTAT 2019 in Hamburg for modeling language processes that manifest themselves as modifications to the visual-manual channel. This work discusses extensions for generalizability to the model to be effective for a broader range of signs including one-handed and two-handed signs, repeating and non-repeating signs, signs with contact, and additional rotational adjustments to the wrists. This paper also includes interim results from an ongoing user study. |
| doi_str_mv | 10.1007/s10590-021-09279-9 |
| format | Article |
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| ispartof | Machine translation, 2021-09, Vol.35 (3), p.345-362 |
| issn | 0922-6567 1573-0573 |
| language | eng |
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| source | SpringerLink Journals - AutoHoldings |
| subjects | Adverbs American Sign Language Artificial Intelligence Avatars Computational Linguistics Computer Science Generalization Motion Natural Language Processing (NLP) Sign language |
| title | Generalizing a model for animating adverbs of manner in American Sign Language |
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