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Natural Language Speech and Audio Processing

Domaine
Natural Language Speech and Audio Processing
Domain - extra
Sign Language processing
Année
2014
Starting
2014, Q4
État
Open
Sujet
Rule triggering and combination for automatic text-to-sign translation
Déclenchement et combinaison de règles pour une traduction automatique de texte vers langue des signes
Thesis advisor
TANNIER Xavier
Co-advisors
Michael Filhol
Laboratory
Collaborations
Abstract
This PhD proposal is in the field of Sign Language processing, specifically machine translation from text (in English or French) to Sign Language (SL).

Sign Language is an oral gestural language involving many simultaneous articulators, which we prove is not describable in sequences of lexical units. We have designed a Sign-specific model at LIMSI to build formal grammars and cover SL properties better. These grammars are based on recursive rules, each of which carries a semantically-loaded function that can be triggered automatically by processing an input text to be translated. Triggered portions must then be combined to form the output translation. The work here will be to explore this combination issue, and eventually build a full text-to-sign translation system. Applications clearly exist in the domain of web accessibility to the Deaf public.

For further details, please download and read the PDF file here (in French).
Context
Objectives
Work program
Extra information
Candidates are expected to apply for a grant from EDIPS, before summer 2014
Prerequisite
Détails
Télécharger 2014-thèse-tradLS-auto.pdf
Expected funding
Institutional funding
Status of funding
Expected
Candidates
Utilisateur
michael.filhol
Créé
Lundi 14 avril 2014 17:23:28 CEST
dernière modif.
Lundi 14 avril 2014 17:23:28 CEST

Fichiers joints

 filenamecrééhitsfilesize 
2014-thèse-tradLS-auto.pdf 14 Apr 2014 17:231774160.20 Kb


Ecole Doctorale Informatique Paris-Sud


Directrice
Nicole Bidoit
Assistante
Stéphanie Druetta
Conseiller aux thèses
Dominique Gouyou-Beauchamps

ED 427 - Université Paris-Sud
UFR Sciences Orsay
Bat 650 - aile nord - 417
Tel : 01 69 15 63 19
Fax : 01 69 15 63 87
courriel: ed-info à lri.fr