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

Thierry Declerck; Sam Bigeard; Anas Fahad Khan; Irene Murtagh; Sussi Olsen; Michael Rosner; Ineke Schuurman; Andon Tchechmedjiev; Andy Way

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

Thierry Declerck, Sam Bigeard, Anas Fahad Khan, Irene Murtagh, Sussi Olsen, Michael Rosner, Ineke Schuurman, Andon Tchechmedjiev, Andy Way

School of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 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.

Original language	English
Title of host publication	AT4SSL 2023 - Proceedings of the 2nd International Workshop on Automatic Translation for Signed and Spoken Languages
Editors	Dimitar Shterionov, Mirella De Sisto, Mathias Muller, Davy Van Landuyt, Rehana Omardeen, Shaun O'boyle, Annelies Braffort, Floris Roelofsen, Frederic Blain, Bram Vanroy, Eleftherios Avramidis
Publisher	European Association for Machine Translation
Pages	13-23
Number of pages	11
ISBN (Electronic)	9789464857184
Publication status	Published - 2023
Event	2nd International Workshop on Automatic Translation for Signed and Spoken Languages, AT4SSL 2023 - Tampere, Finland Duration: 15 Jun 2023 → …

Publication series

Name	AT4SSL 2023 - Proceedings of the 2nd International Workshop on Automatic Translation for Signed and Spoken Languages

Conference

Conference	2nd International Workshop on Automatic Translation for Signed and Spoken Languages, AT4SSL 2023
Country/Territory	Finland
City	Tampere
Period	15/06/23 → …

Cite this

Declerck, T., Bigeard, S., Khan, A. F., Murtagh, I., Olsen, S., Rosner, M., Schuurman, I., Tchechmedjiev, A., & Way, A. (2023). A Linked Data Approach for linking and aligning Sign Language and Spoken Language Data. In D. Shterionov, M. De Sisto, M. Muller, D. Van Landuyt, R. Omardeen, S. O'boyle, A. Braffort, F. Roelofsen, F. Blain, B. Vanroy, & E. Avramidis (Eds.), AT4SSL 2023 - Proceedings of the 2nd International Workshop on Automatic Translation for Signed and Spoken Languages (pp. 13-23). (AT4SSL 2023 - Proceedings of the 2nd International Workshop on Automatic Translation for Signed and Spoken Languages). European Association for Machine Translation.

Declerck, Thierry ; Bigeard, Sam ; Khan, Anas Fahad et al. / A Linked Data Approach for linking and aligning Sign Language and Spoken Language Data. AT4SSL 2023 - Proceedings of the 2nd International Workshop on Automatic Translation for Signed and Spoken Languages. editor / Dimitar Shterionov ; Mirella De Sisto ; Mathias Muller ; Davy Van Landuyt ; Rehana Omardeen ; Shaun O'boyle ; Annelies Braffort ; Floris Roelofsen ; Frederic Blain ; Bram Vanroy ; Eleftherios Avramidis. European Association for Machine Translation, 2023. pp. 13-23 (AT4SSL 2023 - Proceedings of the 2nd International Workshop on Automatic Translation for Signed and Spoken Languages).

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title = "A Linked Data Approach for linking and aligning Sign Language and Spoken Language Data",

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 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.",

author = "Thierry Declerck and Sam Bigeard and Khan, {Anas Fahad} and Irene Murtagh and Sussi Olsen and Michael Rosner and Ineke Schuurman and Andon Tchechmedjiev and Andy Way",

note = "Publisher Copyright: {\textcopyright} 2023 2023 VFS Handling Qualities Technical Meeting. All rights reserved.; 2nd International Workshop on Automatic Translation for Signed and Spoken Languages, AT4SSL 2023 ; Conference date: 15-06-2023",

year = "2023",

language = "English",

series = "AT4SSL 2023 - Proceedings of the 2nd International Workshop on Automatic Translation for Signed and Spoken Languages",

publisher = "European Association for Machine Translation",

pages = "13--23",

editor = "Dimitar Shterionov and {De Sisto}, Mirella and Mathias Muller and {Van Landuyt}, Davy and Rehana Omardeen and Shaun O'boyle and Annelies Braffort and Floris Roelofsen and Frederic Blain and Bram Vanroy and Eleftherios Avramidis",

booktitle = "AT4SSL 2023 - Proceedings of the 2nd International Workshop on Automatic Translation for Signed and Spoken Languages",

}

Declerck, T, Bigeard, S, Khan, AF, Murtagh, I, Olsen, S, Rosner, M, Schuurman, I, Tchechmedjiev, A & Way, A 2023, A Linked Data Approach for linking and aligning Sign Language and Spoken Language Data. in D Shterionov, M De Sisto, M Muller, D Van Landuyt, R Omardeen, S O'boyle, A Braffort, F Roelofsen, F Blain, B Vanroy & E Avramidis (eds), AT4SSL 2023 - Proceedings of the 2nd International Workshop on Automatic Translation for Signed and Spoken Languages. AT4SSL 2023 - Proceedings of the 2nd International Workshop on Automatic Translation for Signed and Spoken Languages, European Association for Machine Translation, pp. 13-23, 2nd International Workshop on Automatic Translation for Signed and Spoken Languages, AT4SSL 2023, Tampere, Finland, 15/06/23.

A Linked Data Approach for linking and aligning Sign Language and Spoken Language Data. / Declerck, Thierry; Bigeard, Sam; Khan, Anas Fahad et al.
AT4SSL 2023 - Proceedings of the 2nd International Workshop on Automatic Translation for Signed and Spoken Languages. ed. / Dimitar Shterionov; Mirella De Sisto; Mathias Muller; Davy Van Landuyt; Rehana Omardeen; Shaun O'boyle; Annelies Braffort; Floris Roelofsen; Frederic Blain; Bram Vanroy; Eleftherios Avramidis. European Association for Machine Translation, 2023. p. 13-23 (AT4SSL 2023 - Proceedings of the 2nd International Workshop on Automatic Translation for Signed and Spoken Languages).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Declerck, Thierry

AU - Bigeard, Sam

AU - Khan, Anas Fahad

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AU - Olsen, Sussi

AU - Rosner, Michael

AU - Schuurman, Ineke

AU - Tchechmedjiev, Andon

AU - Way, Andy

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AB - 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.

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BT - AT4SSL 2023 - Proceedings of the 2nd International Workshop on Automatic Translation for Signed and Spoken Languages

A2 - Shterionov, Dimitar

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A2 - Muller, Mathias

A2 - Van Landuyt, Davy

A2 - Omardeen, Rehana

A2 - O'boyle, Shaun

A2 - Braffort, Annelies

A2 - Roelofsen, Floris

A2 - Blain, Frederic

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Declerck T, Bigeard S, Khan AF, Murtagh I, Olsen S, Rosner M et al. A Linked Data Approach for linking and aligning Sign Language and Spoken Language Data. In Shterionov D, De Sisto M, Muller M, Van Landuyt D, Omardeen R, O'boyle S, Braffort A, Roelofsen F, Blain F, Vanroy B, Avramidis E, editors, AT4SSL 2023 - Proceedings of the 2nd International Workshop on Automatic Translation for Signed and Spoken Languages. European Association for Machine Translation. 2023. p. 13-23. (AT4SSL 2023 - Proceedings of the 2nd International Workshop on Automatic Translation for Signed and Spoken Languages).

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

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