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Title

Rapid Construction of a Web-Enabled Medical Speech to Sign Language Translator Using Recorded Video
Authors
Ahmed, Farhia
Bouillon, Pierrette
Destefano, Chelle
Gerlach, Johanna
Hooper, Angela
Rayner, Emmanuel
Strasly, Irene
Tsourakis, Nikolaos
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Published in Quesada, José F, Francisco-Jesús, Martín Mateos, López Soto, Teresa. Future and Emerging Trends in Language Technology. Machine Learning and Big Data: Springer International Publishing. 2017, p. 122-134
Collection Lecture Notes in Artificial Intelligence; 10341
Abstract We describe an experiment in which sign-language output in Swiss French Sign Language (LSF-CH) and Australian Sign Language (Auslan) was added to a limited-domain medical speech translation system using a recorded video method. By constructing a suitable web tool to manage the recording procedure, the overhead involved in creating and manipulating the large set of files involved could be made easily manageable, allowing us to focus on the interesting and non-trivial problems which arise at the translation level. Initial experiences with the system suggest that the recorded videos, despite their unprofessional appearance, are readily comprehensible to Deaf informants, and that the method is promising as a simple short-term solution for this type of application.
Keywords Speech translation — Medical translation — Sign language translation — Web
Identifiers
ISBN: 978-3-319-69364-4
Full text
Other version: http://link.springer.com/10.1007/978-3-319-69365-1_10
Structures
Faculté de traduction et d'interprétation / Département de traitement informatique multilingue
Citation
(ISO format) 		AHMED, Farhia et al. Rapid Construction of a Web-Enabled Medical Speech to Sign Language Translator Using Recorded Video. In: Quesada, José F, Francisco-Jesús, Martín Mateos, López Soto, Teresa (Ed.). Future and Emerging Trends in Language Technology. Machine Learning and Big Data. [s.l.] : Springer International Publishing, 2017. p. 122-134. (Lecture Notes in Artificial Intelligence; 10341) doi: 10.1007/978-3-319-69365-1_10 https://archive-ouverte.unige.ch/unige:99301

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Deposited on : 2017-11-21

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