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Machine Translation ; Machine Translation: Special Issue: Sign Language Translation and Avatar Technology
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In: https://hal.archives-ouvertes.fr/hal-03375911 ; 35 (3), Springer, 2021, Special Issue: Sign Language Translation and Avatar Technology (2021)
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The myth of signing avatars
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In: Proceedings of the 18th Biennial Machine Translation Summit ; 1st International Workshop on Automatic Translation for Signed and Spoken Languages ; https://hal.archives-ouvertes.fr/hal-03375968 ; 1st International Workshop on Automatic Translation for Signed and Spoken Languages, Aug 2021, Online streaming, France (2021)
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Dicta-Sign–LSF–v2 : étendre le traitement automatique des langues des signes grâce à un corpus de dialogue en Langue des Signes
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In: Minority languages spoken or signed and inclusive spaces ; https://hal.archives-ouvertes.fr/hal-03450108 ; Minority languages spoken or signed and inclusive spaces, 2021, Asynchronous online event, France (2021)
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Experimenting the Automatic Recognition of Non-Conventionalized Units in Sign Language
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In: ISSN: 1999-4893 ; Algorithms ; https://hal.archives-ouvertes.fr/hal-03060271 ; Algorithms, MDPI, 2020, 13, pp.310-345. ⟨10.3390/a13120310⟩ (2020)
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Abstract:
International audience ; Sign Languages are visual-gestural languages that have developed naturally in Deaf communities. They are based on the use of lexical signs, that is conventionalized units, as well as highly iconic structures, i.e. when the form of an utterance and the meaning it carries are not independent. Although most research in automatic Sign Language Recognition has focused on lexical signs, we wish to broaden this perspective and consider the recognition of non-conventionalized iconic and syntactic elements. We propose to use corpora made by linguists like the finely and consistently annotated dialogue corpus Dicta-Sign-LSF-v2. We then redefine the problem of automatic Sign Language Recognition as the recognition of linguistic descriptors, with carefully thought out performance metrics. Moreover, we develop a compact and generalizable representation of signers in videos by parallel processing of the hands, face and upper body, then an adapted learning architecture based on a Recurrent Convolutional Neural Network. Through a study focused on the recognition of four linguistic descriptors, we show the soundness of the proposed approach and pave the way for a wider understanding of Continuous Sign Language Recognition.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs]; continuous sign language; iconicity; recurrent neural networks; sign language linguistics; sign language recognition; signer representation
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URL: https://hal.archives-ouvertes.fr/hal-03060271
https://hal.archives-ouvertes.fr/hal-03060271/file/algo.pdf
https://hal.archives-ouvertes.fr/hal-03060271/document
https://doi.org/10.3390/a13120310
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Towards Continuous Recognition of Illustrative and Spatial Structures in Sign Language
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In: ECCV Sign Language Recognition, Translation and Production Workshop ; https://hal.archives-ouvertes.fr/hal-03060270 ; ECCV Sign Language Recognition, Translation and Production Workshop, Springer, Aug 2020, Glasgow, United Kingdom (2020)
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MEDIAPI-SKEL -A 2D-Skeleton Video Database of French Sign Language With Aligned French Subtitles
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In: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) ; Proceedings of the 12th Language Resources and Evaluation Conference ; 12th Conference on Language Resources and Evaluation (LREC 2020) ; https://hal.archives-ouvertes.fr/hal-02952340 ; 12th Conference on Language Resources and Evaluation (LREC 2020), Jun 2020, Marseille, France. pp.6063-6068 (2020)
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Automatic Segmentation of Sign Language into Subtitle-Units
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In: Computer Vision – ECCV 2020 Workshops ; Sign Language Recognition, Translation & Production workshop ; https://hal.archives-ouvertes.fr/hal-03098684 ; Sign Language Recognition, Translation & Production workshop, Aug 2020, Glasgow ( virtual ), United Kingdom. ⟨10.1007/978-3-030-66096-3_14⟩ (2020)
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Person Identification Based on Sign Language Motion: Insights from Human Perception and Computational Modeling
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In: International Conference on Movement and Computing ; https://hal.archives-ouvertes.fr/hal-03078733 ; International Conference on Movement and Computing, ACM, Jul 2020, Jersey City / Virtual, United States. ⟨10.1145/3401956.3404187⟩ (2020)
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Automatic recognition of Sign Language structures in RGB videos: the detection of pointing and lexical signs
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In: https://hal.archives-ouvertes.fr/hal-02146368 ; 2019 (2019)
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Optimization of a gesture representation network for Sign Language analysis
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In: https://hal.archives-ouvertes.fr/hal-02146369 ; 2019 (2019)
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Towards an Automatic Annotation of French Sign Language Videos: Detection of Lexical Signs
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In: CAIP 2019: Computer Analysis of Images and Patterns ; https://hal.archives-ouvertes.fr/hal-03058012 ; CAIP 2019: Computer Analysis of Images and Patterns, Sep 2019, Salerno, Italy. pp.402-412, ⟨10.1007/978-3-030-29891-3_35⟩ (2019)
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Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective
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In: The 21st International ACM SIGACCESS Conference on Computers and Accessibility ; https://hal.archives-ouvertes.fr/hal-02394580 ; The 21st International ACM SIGACCESS Conference on Computers and Accessibility, Oct 2019, Pittsburgh, United States (2019)
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Which picture? A Methodology for the Evaluation of Sign Language Animation Understandability
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In: Workshop on the Representation and Processing of Sign Languages ; https://hal.archives-ouvertes.fr/hal-01836469 ; Workshop on the Representation and Processing of Sign Languages, ELRA, May 2018, Miyazaki, Japan (2018)
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| 14 |
Modeling French Sign Language: a proposal for a semantically compositional system
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In: Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC) ; International Conference on Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01848986 ; International Conference on Language Resources and Evaluation, ELRA, May 2018, Miyazaki, Japan (2018)
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Realistically Animating Proforms Involving Placement and Movement in Sign Languages
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In: Conference of the International Society for Gesture Studies: Gesture and diversity ; https://hal.archives-ouvertes.fr/hal-01848984 ; Conference of the International Society for Gesture Studies: Gesture and diversity, Jul 2018, Cape Town, South Africa (2018)
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Interaction gestuelle : de la capture à la production
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In: 1ère Ecole de printemps sur les IHM et la RVA (IVAR 2017) ; https://hal.archives-ouvertes.fr/hal-03425273 ; 1ère Ecole de printemps sur les IHM et la RVA (IVAR 2017), Apr 2017, Alger, France (2017)
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Eye gaze in French Sign Language: a study on depicting signs
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In: Theoretical Issues in Sign Language Research ; https://hal.archives-ouvertes.fr/hal-01633624 ; Theoretical Issues in Sign Language Research, Jan 2016, Melbourne, Australia (2016)
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KAZOO: A Sign Language Generation Platform Based on Production Rules
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In: ISSN: 1615-5289 ; EISSN: 1615-5297 ; Universal Access in the Information Society ; https://hal.archives-ouvertes.fr/hal-01633619 ; Universal Access in the Information Society, Springer Verlag, 2016, 15, pp.541-550 (2016)
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Collecting and Analysing a Motion-Capture Corpus of French Sign Language
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In: Workshop on the Representation and Processing of Sign Languages ; https://hal.archives-ouvertes.fr/hal-01633625 ; Workshop on the Representation and Processing of Sign Languages, Jan 2016, Portoroz, Slovenia (2016)
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MOCAP1: A motion capture corpus of French Sign Language for interdisciplinary studies
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In: Journées d'études D.I.G : La dynamique Interactionnelle du Geste "Making sense together" ; https://hal.archives-ouvertes.fr/hal-01633628 ; Journées d'études D.I.G : La dynamique Interactionnelle du Geste "Making sense together", Jan 2016, Paris, France (2016)
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