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Sign language lexical recognition with Propositional Dynamic Logic

Curiel Diaz, Arturo Tlacaelel and Collet, Christophe Sign language lexical recognition with Propositional Dynamic Logic. (2013) In: 51st Annual Meeting of the Association for Computational Linguistics (ACL), 4 August 2013 - 9 August 2013 (Sofia, Bulgaria).

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Abstract

This paper explores the use of Propositional Dynamic Logic (PDL) as a suitable formal framework for describing Sign Language (SL), the language of deaf people, in the context of natural language processing. SLs are visual, complete, standalone languages which are just as expressive as oral languages. Signs in SL usually correspond to sequences of highly specific body postures interleaved with movements, which make reference to real world objects, characters or situations. Here we propose a formal representation of SL signs, that will help us with the analysis of automatically-collected hand tracking data from French Sign Language (FSL) video corpora. We further show how such a representation could help us with the design of computer aided SL verification tools, which in turn would bring us closer to the development of an automatic recognition system for these languages.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to ACL. ISBN 978-1-937284-50-3 The original PDF of the article can be found at : http://www.aclweb.org/anthology/P13-2059
HAL Id:hal-01193094
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited On:15 Jul 2015 13:52

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