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Publication . Article . Preprint . 2019

Building the first comprehensive machine-readable Turkish sign language resource: methods, challenges and solutions

Gülşen Eryiğit; Cihat Eryiğit; Serpil Karabüklü; Meltem Kelepir; Aslı Özkul; Tuğba Pamay; Dilara Torunoğlu-Selamet; +1 Authors
Open Access
English
Published: 17 Apr 2019 Journal: Language Resources and Evaluation, volume 54, issue 1, pages 97-121 (issn: 1574-020X, eissn: 1574-0218, Copyright policy )
Abstract

This article describes the procedures employed during the development of the first comprehensive machine-readable Turkish Sign Language (TiD) resource: a bilingual lexical database and a parallel corpus between Turkish and TiD. In addition to sign language specific annotations (such as non-manual markers, classifiers and buoys) following the recently introduced TiD knowledge representation (Eryiğit et al. 2016), the parallel corpus contains also annotations of dependency relations, which makes it the first parallel treebank between a sign language and an auditory-vocal language.

Subjects by Vocabulary

Microsoft Academic Graph classification: Natural language processing computer.software_genre computer Sign language Treebank Computational linguistics Turkish language.human_language language Turkish sign language Dependency (UML) Computer science Artificial intelligence business.industry business Resource (project management) Lexical database

ACM Computing Classification System: ComputingMethodologies_PATTERNRECOGNITION

Subjects

Library and Information Sciences, Linguistics and Language, Education, Language and Linguistics, Turkish Sign Language, TİD, Parallel Dependency Treebank, Turkish, machine-readable, parallel corpus

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Funded by
EC| SIGN-HUB
Project
SIGN-HUB
The Sign Hub: preserving, researching and fostering the linguistic, historical and cultural heritage of European Deaf signing communities with an integral resource
  • Funder: European Commission (EC)
  • Project Code: 693349
  • Funding stream: H2020 | RIA
Validated by funder
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