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From Design and Collection to Annotation of a Learner Corpus of Sign Language
Stockholm University, Faculty of Humanities, Department of Linguistics, Sign Language.ORCID iD: 0000-0002-0612-6304
Stockholm University, Faculty of Humanities, Department of Linguistics, Swedish as a Second Language for the Deaf.ORCID iD: 0000-0002-8579-0771
2018 (English)In: 8th Workshop on the Representation and Processing of Sign Languages: Involving the Language Community: Proceedings / [ed] Mayumi Bono, Eleni Efthimiou, Stavroula-Evita Fotinea, Thomas Hanke, Julie Hochgesang, Jette Kristoffersen, Johanna Mesch, Yutaka Osugi, European Language Resources Association, 2018, p. 121-126Conference paper, Published paper (Refereed)
Abstract [en]

This paper aims to present part of the project “From Speech to Sign – learning Swedish Sign Language as a second language” which include a learner corpus that is based on data produced by hearing adult L2 signers. The paper describes the design of corpus building and the collection of data for the Corpus in Swedish Sign Language as a Second Language (SSLC-L2). Another component of ongoing work is the creation of a specialized annotation scheme for SSLC-L2, one that differs somewhat from the annotation work in Swedish Sign Language Corpus (SSLC), where the data is based on performance by L1 signers. Also, we will account for and discuss the methodology used to annotate L2 structures.

Place, publisher, year, edition, pages
European Language Resources Association, 2018. p. 121-126
Keywords [en]
learner corpus, annotation, L2 signers, L2 analysis, Swedish Sign Language
National Category
General Language Studies and Linguistics
Research subject
Sign Language
Identifiers
URN: urn:nbn:se:su:diva-157148ISBN: 979-10-95546-01-6 (print)OAI: oai:DiVA.org:su-157148DiVA, id: diva2:1216390
Conference
8th Workshop on the Representation and Processing of Sign Languages, Miyazaki, Japan, 12 May, 2018
Available from: 2018-06-11 Created: 2018-06-11 Last updated: 2019-03-20Bibliographically approved

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