Use Cases for a Sign Language Concordancer

Marion Kaczmarek, Michael Filhol


Abstract
This article treats about a Sign Language concordancer. In the past years, the need for content translated into Sign Language has been growing, and is still growing nowadays. Yet, unlike their text-to-text counterparts, Sign Language translators are not equipped with computer-assisted translation software. As we aim to provide them with such software, we explore the possibilities offered by a first tool: a Sign Language concordancer. It includes designing an alignments database as well as a search function to browse it. Testing sessions with professionals highlight relevant use cases for their professional practices. It can either comfort the translator when the results are identical, or show the importance of context when the results are different for a same expression. This concordancer is available online, and aim to be a collaborative tool. Though our current database is small, we hope for translators to invest themselves and help us to keep it expanding.
Anthology ID:
2020.signlang-1.18
Volume:
Proceedings of the LREC2020 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives
Month:
May
Year:
2020
Address:
Marseille, France
Venues:
LREC | SignLang | WS
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
113–116
Language:
English
URL:
https://aclanthology.org/2020.signlang-1.18
DOI:
Bibkey:
Cite (ACL):
Marion Kaczmarek and Michael Filhol. 2020. Use Cases for a Sign Language Concordancer. In Proceedings of the LREC2020 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives, pages 113–116, Marseille, France. European Language Resources Association (ELRA).
Cite (Informal):
Use Cases for a Sign Language Concordancer (Kaczmarek & Filhol, SignLang 2020)
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PDF:
https://aclanthology.org/2020.signlang-1.18.pdf