The Corpus of Israeli Sign Language

Rose Stamp, Ora Ohanin, Sara Lanesman


Abstract
The Corpus of Israeli Sign Language is a four-year project (2020-2024) which aims to create a digital open-access corpus of spontaneous and elicited data from a representative sample of the Israeli deaf community. In this paper, the methodology for building the Corpus of Israeli Sign Language is described. Israeli Sign Language (ISL) is the main sign language used across Israel by around 10,000 people. As part of the corpus, data will be collected from 120 deaf ISL signers across four sites in Israel: Tel Aviv and the Centre, Haifa and the North, Be’er Sheva and the South and Jerusalem and the surrounding area. Participants will engage in a variety of tasks, eliciting a range of signing styles from free conversation to lexical elicitation. The dataset will consist of recordings of over 360 hours of video data which will be used to conduct sociolinguistic investigations of language contact, variation, and change in the near term, and other linguistic analyses in the future.
Anthology ID:
2022.signlang-1.30
Volume:
Proceedings of the LREC2022 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources
Month:
June
Year:
2022
Address:
Marseille, France
Editors:
Eleni Efthimiou, Stavroula-Evita Fotinea, Thomas Hanke, Julie A. Hochgesang, Jette Kristoffersen, Johanna Mesch, Marc Schulder
Venue:
SignLang
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
192–197
Language:
URL:
https://aclanthology.org/2022.signlang-1.30
DOI:
Bibkey:
Cite (ACL):
Rose Stamp, Ora Ohanin, and Sara Lanesman. 2022. The Corpus of Israeli Sign Language. In Proceedings of the LREC2022 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources, pages 192–197, Marseille, France. European Language Resources Association.
Cite (Informal):
The Corpus of Israeli Sign Language (Stamp et al., SignLang 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.signlang-1.30.pdf