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Morphological complexity influences Verb–Object order in Swedish Sign Language
Stockholm University, Faculty of Humanities, Department of Linguistics, Computational Linguistics. University of Groningen, The Netherlands.ORCID iD: 0000-0002-9512-0739
Stockholm University, Faculty of Humanities, Department of Linguistics, Sign Language.ORCID iD: 0000-0001-7549-4648
2016 (English)In: Computational Linguistics for Linguistic Complexity: Proceedings of the Workshop / [ed] Dominique Brunato, Felice Dell'Orletta, Giulia Venturi, Thomas François, Philippe Blache, International Committee on Computational Linguistics (ICCL) , 2016, p. 137-141Conference paper, Published paper (Refereed)
Abstract [en]

Computational linguistic approaches to sign languages could benefit from investigating how complexity influences structure. We investigate whether morphological complexity has an effect on the order of Verb (V) and Object (O) in Swedish Sign Language (SSL), on the basis of elicited data from five Deaf signers. We find a significant difference in the distribution of the orderings OV vs. VO, based on an analysis of morphological weight. While morphologically heavy verbs exhibit a general preference for OV, humanness seems to affect the ordering in the opposite direction, with [+human] Objects pushing towards a preference for VO.

Place, publisher, year, edition, pages
International Committee on Computational Linguistics (ICCL) , 2016. p. 137-141
National Category
Languages and Literature
Research subject
Computational Linguistics; Sign Language
Identifiers
URN: urn:nbn:se:su:diva-136872ISBN: 978-4-87974-709-9 (print)OAI: oai:DiVA.org:su-136872DiVA, id: diva2:1057378
Conference
26th International Conference on Computational Linguistics (COLING 2016), Osaka, Japan, December 11-17, 2016
Available from: 2016-12-17 Created: 2016-12-17 Last updated: 2019-04-01Bibliographically approved

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CiteExportLink to record
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