A hybrid formalism to parse Sign Languages

Sign Language (SL) linguistic is dependent on the expensive task of annotating. Some automation is already available for low-level information (eg. body part tracking) and the lexical level has shown significant progresses. The syntactic level lacks annotated corpora as well as complete and consiste...

Full description

Bibliographic Details
Main Authors: Dubot, Rémi, Collet, Christophe
Format: Report
Language:unknown
Published: arXiv 2014
Subjects:
Computation and Language cs.CL
FOS Computer and information sciences
Iceland
Online Access:https://dx.doi.org/10.48550/arxiv.1403.4467
https://arxiv.org/abs/1403.4467
id ftdatacite:10.48550/arxiv.1403.4467
record_format openpolar
spelling ftdatacite:10.48550/arxiv.1403.4467 2023-05-15T16:49:45+02:00 A hybrid formalism to parse Sign Languages Dubot, Rémi Collet, Christophe 2014 https://dx.doi.org/10.48550/arxiv.1403.4467 https://arxiv.org/abs/1403.4467 unknown arXiv arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Computation and Language cs.CL FOS Computer and information sciences Preprint Article article CreativeWork 2014 ftdatacite https://doi.org/10.48550/arxiv.1403.4467 2022-04-01T13:06:26Z Sign Language (SL) linguistic is dependent on the expensive task of annotating. Some automation is already available for low-level information (eg. body part tracking) and the lexical level has shown significant progresses. The syntactic level lacks annotated corpora as well as complete and consistent models. This article presents a solution for the automatic annotation of SL syntactic elements. It exposes a formalism able to represent both constituency-based and dependency-based models. The first enable the representation the structures one may want to annotate, the second aims at fulfilling the holes of the first. A parser is presented and used to conduct two experiments on the solution. One experiment is on a real corpus, the other is on a synthetic corpus. : 6 pages, 6 figures, Procedings of the 6th Workshop on the Representation and Processing of Sign Languages: Beyond the manual channel, Language Resources and Evaluation Conference (LREC) Reykjavik, Iceland, 31 May 2014 Report Iceland DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Computation and Language cs.CL
FOS Computer and information sciences
spellingShingle Computation and Language cs.CL
FOS Computer and information sciences
Dubot, Rémi
Collet, Christophe
A hybrid formalism to parse Sign Languages
topic_facet Computation and Language cs.CL
FOS Computer and information sciences
description Sign Language (SL) linguistic is dependent on the expensive task of annotating. Some automation is already available for low-level information (eg. body part tracking) and the lexical level has shown significant progresses. The syntactic level lacks annotated corpora as well as complete and consistent models. This article presents a solution for the automatic annotation of SL syntactic elements. It exposes a formalism able to represent both constituency-based and dependency-based models. The first enable the representation the structures one may want to annotate, the second aims at fulfilling the holes of the first. A parser is presented and used to conduct two experiments on the solution. One experiment is on a real corpus, the other is on a synthetic corpus. : 6 pages, 6 figures, Procedings of the 6th Workshop on the Representation and Processing of Sign Languages: Beyond the manual channel, Language Resources and Evaluation Conference (LREC) Reykjavik, Iceland, 31 May 2014
format Report
author Dubot, Rémi
Collet, Christophe
author_facet Dubot, Rémi
Collet, Christophe
author_sort Dubot, Rémi
title A hybrid formalism to parse Sign Languages
title_short A hybrid formalism to parse Sign Languages
title_full A hybrid formalism to parse Sign Languages
title_fullStr A hybrid formalism to parse Sign Languages
title_full_unstemmed A hybrid formalism to parse Sign Languages
title_sort hybrid formalism to parse sign languages
publisher arXiv
publishDate 2014
url https://dx.doi.org/10.48550/arxiv.1403.4467
https://arxiv.org/abs/1403.4467
genre Iceland
genre_facet Iceland
op_rights arXiv.org perpetual, non-exclusive license
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
op_doi https://doi.org/10.48550/arxiv.1403.4467
_version_ 1766039950818541568

Similar Items