A Linked Data Approach for linking and aligning Sign Language and Spoken Language Data - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

A Linked Data Approach for linking and aligning Sign Language and Spoken Language Data

Résumé

We present work dealing with a Linked Open Data (LOD)-compliant representation of Sign Language (SL) data, with the goal of supporting the cross-lingual alignment of SL data and their linking to Spoken Language (SpL) data. The proposed representation is based on activities of groups of researchers in the field of SL who have investigated the use of Open Multilingual Wordnet (OMW) datasets for (manually) cross-linking SL data or for linking SL and SpL data. Another group of researchers is proposing an XML encoding of articulatory elements of SLs and (manually) linking those to an SpL lexical resource. We propose an RDF-based representation of those various kinds of data. This unified formal representation offers a semantic repository of information on SL and SpL data that could be accessed for supporting the creation of datasets for training or evaluating NLP applications dealing with SLs, thinking for example of Machine Translation (MT) between SLs and between SLs and SpLs.
Fichier principal
Vignette du fichier
2023.at4ssl-1.2.pdf (306.62 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Licence : CC BY - Paternité

Dates et versions

hal-04205034 , version 1 (12-09-2023)

Licence

Paternité

Identifiants

  • HAL Id : hal-04205034 , version 1

Citer

Thierry Declerck, Sam Bigeard, Fahad Khan, Irene Murtagh, Sussi Olsen, et al.. A Linked Data Approach for linking and aligning Sign Language and Spoken Language Data. Proceedings of the Second International Workshop on Automatic Translation for Signed and Spoken Languages, Jun 2023, Tampere, Finland. pp.11-21. ⟨hal-04205034⟩
45 Consultations
46 Téléchargements

Partager

Gmail Facebook X LinkedIn More