@inproceedings{declerck-etal-2023-linked,
title = "A Linked Data Approach for linking and aligning Sign Language and Spoken Language Data",
author = "Declerck, Thierry and
Bigeard, Sam and
Khan, Fahad and
Murtagh, Irene and
Olsen, Sussi and
Rosner, Mike and
Schuurman, Ineke and
Tchechmedjiev, Andon and
Way, Andy",
editor = "Shterionov, Dimitar and
Sisto, Mirella De and
Muller, Mathias and
Landuyt, Davy Van and
Omardeen, Rehana and
Oboyle, Shaun and
Braffort, Annelies and
Roelofsen, Floris and
Blain, Fred and
Vanroy, Bram and
Avramidis, Eleftherios",
booktitle = "Proceedings of the Second International Workshop on Automatic Translation for Signed and Spoken Languages",
month = jun,
year = "2023",
address = "Tampere, Finland",
publisher = "European Association for Machine Translation",
url = "https://aclanthology.org/2023.at4ssl-1.2",
pages = "11--21",
abstract = "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 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.",
}
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<abstract>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 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.</abstract>
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%0 Conference Proceedings
%T A Linked Data Approach for linking and aligning Sign Language and Spoken Language Data
%A Declerck, Thierry
%A Bigeard, Sam
%A Khan, Fahad
%A Murtagh, Irene
%A Olsen, Sussi
%A Rosner, Mike
%A Schuurman, Ineke
%A Tchechmedjiev, Andon
%A Way, Andy
%Y Shterionov, Dimitar
%Y Sisto, Mirella De
%Y Muller, Mathias
%Y Landuyt, Davy Van
%Y Omardeen, Rehana
%Y Oboyle, Shaun
%Y Braffort, Annelies
%Y Roelofsen, Floris
%Y Blain, Fred
%Y Vanroy, Bram
%Y Avramidis, Eleftherios
%S Proceedings of the Second International Workshop on Automatic Translation for Signed and Spoken Languages
%D 2023
%8 June
%I European Association for Machine Translation
%C Tampere, Finland
%F declerck-etal-2023-linked
%X 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 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.
%U https://aclanthology.org/2023.at4ssl-1.2
%P 11-21
Markdown (Informal)
[A Linked Data Approach for linking and aligning Sign Language and Spoken Language Data](https://aclanthology.org/2023.at4ssl-1.2) (Declerck et al., AT4SSL 2023)
ACL
- Thierry Declerck, Sam Bigeard, Fahad Khan, Irene Murtagh, Sussi Olsen, Mike Rosner, Ineke Schuurman, Andon Tchechmedjiev, and Andy Way. 2023. A Linked Data Approach for linking and aligning Sign Language and Spoken Language Data. In Proceedings of the Second International Workshop on Automatic Translation for Signed and Spoken Languages, pages 11–21, Tampere, Finland. European Association for Machine Translation.