Book chapter
English

Rapid Construction of a Web-Enabled Medical Speech to Sign Language Translator Using Recorded Video

Published inQuesada, José F, Francisco-Jesús, Martín Mateos, López Soto, Teresa (Ed.), Future and Emerging Trends in Language Technology. Machine Learning and Big Data, p. 122-134
PublisherSpringer International Publishing
Collection
  • Lecture Notes in Artificial Intelligence; 10341
Publication date2017
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
Citation (ISO format)
AHMED, Farhia et al. Rapid Construction of a Web-Enabled Medical Speech to Sign Language Translator Using Recorded Video. In: Future and Emerging Trends in Language Technology. Machine Learning and Big Data. Quesada, José F, Francisco-Jesús, Martín Mateos, López Soto, Teresa (Ed.). [s.l.] : Springer International Publishing, 2017. p. 122–134. (Lecture Notes in Artificial Intelligence) doi: 10.1007/978-3-319-69365-1_10
Identifiers
ISBN978-3-319-69364-4
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Technical informations

Creation11/02/2017 2:00:00 PM
First validation11/02/2017 2:00:00 PM
Update time03/15/2023 2:24:07 AM
Status update03/15/2023 2:24:07 AM
Last indexation10/31/2024 8:40:38 AM
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