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
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
Connexion
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