Jérémie Segouat

Also published as: J. Segouat


2012

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Influence de la segmentation temporelle sur la caractérisation de signes (Influence of the temporal segmentation on the sign characterization) [in French]
François Lefebvre-Albaret | Jérémie Segouat
JEP-TALN-RECITAL 2012, Workshop DEGELS 2012: Défi GEste Langue des Signes (DEGELS 2012: Gestures and Sign Language Challenge)

2010

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Sign Language Corpora for Analysis, Processing and Evaluation
Annelies Braffort | Laurence Bolot | Emilie Chételat-Pelé | Annick Choisier | Maxime Delorme | Michael Filhol | Jérémie Segouat | Cyril Verrecchia | Flora Badin | Nadège Devos
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

Sign Languages (SLs) are the visuo-gestural languages practised by the deaf communities. Research on SLs requires to build, to analyse and to use corpora. The aim of this paper is to present various kinds of new uses of SL corpora. The way data are used take advantage of the new capabilities of annotation software for visualisation, numerical annotation, and processing. The nature of the data can be video-based or motion capture-based. The aims of the studies include language analysis, animation processing, and evaluation. We describe here some LIMSI’s studies, and some studies from other laboratories as examples.

2009

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Toward Categorization of Sign Language Corpora
Jérémie Segouat | Annelies Braffort
Proceedings of the 2nd Workshop on Building and Using Comparable Corpora: from Parallel to Non-parallel Corpora (BUCC)

2006

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Sign Language corpus analysis: Synchronisation of linguistic annotation and numerical data
Jérémie Segouat | Annelies Braffort | Emilie Martin
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

This paper presents a study on synchronization of linguistic annotation and numerical data on a video corpus of French Sign Language. We detail the methodology and sketches out the potential observations that can be provided by such a kind of mixed annotation. The corpus is composed of three views: close-up, frontal and top. Some image processing has been performed on each video in order to provide global information on the movement of the signers. That consists of the size and position of a bounding box surrounding the signer. Linguists have studied this corpus and have provided annotations on iconic structures, such as "personal transfers" (role shifts). We used an annotation software, ANVIL, to synchronize linguistic annotation and numerical data. This new approach of annotation seems promising for automatic detection of linguistic phenomena, such as classification of the signs according to their size in the signing space, and detection of some iconic structures. Our first results must be consolidated and extended on the whole corpus. The next step will consist of designing automatic processes in order to assist SL annotation.

2004

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Toward an Annotation Software for Video of Sign Language, Including Image Processing Tools and Signing Space Modelling
A. Braffort | A. Choisier | C. Collet | P. Dalle | F. Gianni | F. Lenseigne | J. Segouat
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)