Towards an open platform for machine translation of spoken languages into sign languages

The purpose of this paper is to investigate the feasibility of offering a multilingual platform for text-to-sign translation, i.e., a solution where a machine translates digital contents in several spoken languages to several sign languages in scenarios such as Digital TV, Web and Cinema. This solut...

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Bibliographic Details
Published in:Machine translation 2019-12, Vol.33 (4), p.315-348
Main Authors: Costa, Rostand E. O., de Araújo, Tiago M. U., Lima, Manuella A. C. B., Veríssimo, Vinícius M., de Andrade, Renan S., Vieira, Suanny F., Santos, Alexandre, Filho, Guido L. Souza, Soares, Marília K., Hanael, Vitor
Format: Article
Language:English
Subjects:
Animation
Artificial Intelligence
Computational Linguistics
Computer Science
Dictionaries
Gloss
Languages
Machine translation
Motion pictures
Natural Language Processing (NLP)
Sign language
Spoken language
Three dimensional models
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Summary:The purpose of this paper is to investigate the feasibility of offering a multilingual platform for text-to-sign translation, i.e., a solution where a machine translates digital contents in several spoken languages to several sign languages in scenarios such as Digital TV, Web and Cinema. This solution—called OpenSigns—is an open platform that has several common components for generic functionalities originating from the Suite VLibras, including the creation and manipulation of 3D animation models, and interchangeable mechanisms specific for each sign language, such as a text-togloss machine translation engine and a signs dictionary for each sign language. Our motivation is that the concentration of efforts and resources around a single solution could provide some state-of-the-art improvement, such as a standard solution for the industry and a greater functional flexibility for common components. In addition, we could share techniques and heuristics between the translation mechanisms, reducing the effort to make a new sign language available on the platform, which may further enhance digital inclusion and accessibility, especially for the poorest countries.
ISSN:0922-6567
1573-0573
DOI:10.1007/s10590-019-09238-5