The effect of sociolinguistic factors on variation in the Kata Kolok lexicon

Katie Mudd; Hannah Lutzenberger; Connie de Vos; Bart De Boer; Paula Fikkert; Onno Crasborn

doi:10.1075/aplv.19009.mud

The effect of sociolinguistic factors on variation in the Kata Kolok lexicon

Katie Mudd, Hannah Lutzenberger, Connie de Vos, Bart De Boer, Paula Fikkert, Onno Crasborn

Research output: Contribution to journal › Article › peer-review

18 Citations (Scopus)

Abstract

Sign languages can be categorized as shared sign languages or deaf community sign languages, depending on the context in which they emerge. It has been suggested that shared sign languages exhibit more variation in the expression of everyday concepts than deaf community sign languages (Meir, Israel, Sandler, Padden, & Aronoff, 2012). For deaf community sign languages, it has been shown that various sociolinguistic factors condition this variation. This study presents one of the first in-depth investigations of how sociolinguistic factors (deaf status, age, clan, gender and having a deaf family member) affect lexical variation in a shared sign language, using a picture description task in Kata Kolok. To study lexical variation in Kata Kolok, two methodologies are devised: the identification of signs by underlying iconic motivation and mapping, and a way to compare individual repertoires of signs by calculating the lexical distances between participants. Alongside presenting novel methodologies to study this type of sign language, we present preliminary evidence of sociolinguistic factors that may influence variation in the Kata Kolok lexicon.

Original language	English
Article number	3
Pages (from-to)	53-88
Number of pages	36
Journal	Asia-Pacific Language Variation
Volume	6
Issue number	1
DOIs	https://doi.org/10.1075/aplv.19009.mud
Publication status	Published - 29 Jul 2020

Bibliographical note

Funding Information:
This research was supported by the FWO-NWO grant “The emergence of phonology within six generations” awarded to Bart de Boer, Connie de Vos and Paula Fikkert, the Flemish AI plan, and the NWO Veni grant “The face in sign language interaction” awarded to Dr. de Vos. We would like to thank all KK signers who did and did not participate in this study and our research assistants. A special thanks to Anique Schüller for sharing her sentence repetition task methodology with us (Schüller, 2018), and to Yannick Jadoul and Marnix van Soom for help with the statistical analysis. Extremely detailed feedback from two anonymous reviewers and the editor of this issue, Nick Palfreyman, was invaluable in ameliorating this manuscript. In addition, we are grateful for the feedback from the participants of the Symposium on sociolinguistic variation in signed and spoken languages of the Asia-Pacific region.

Publisher Copyright:
© John Benjamins Publishing Company.

Copyright:
Copyright 2023 Elsevier B.V., All rights reserved.

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title = "The effect of sociolinguistic factors on variation in the Kata Kolok lexicon",

abstract = "Sign languages can be categorized as shared sign languages or deaf community sign languages, depending on the context in which they emerge. It has been suggested that shared sign languages exhibit more variation in the expression of everyday concepts than deaf community sign languages (Meir, Israel, Sandler, Padden, & Aronoff, 2012). For deaf community sign languages, it has been shown that various sociolinguistic factors condition this variation. This study presents one of the first in-depth investigations of how sociolinguistic factors (deaf status, age, clan, gender and having a deaf family member) affect lexical variation in a shared sign language, using a picture description task in Kata Kolok. To study lexical variation in Kata Kolok, two methodologies are devised: the identification of signs by underlying iconic motivation and mapping, and a way to compare individual repertoires of signs by calculating the lexical distances between participants. Alongside presenting novel methodologies to study this type of sign language, we present preliminary evidence of sociolinguistic factors that may influence variation in the Kata Kolok lexicon.",

author = "Katie Mudd and Hannah Lutzenberger and {de Vos}, Connie and {De Boer}, Bart and Paula Fikkert and Onno Crasborn",

note = "Funding Information: This research was supported by the FWO-NWO grant “The emergence of phonology within six generations” awarded to Bart de Boer, Connie de Vos and Paula Fikkert, the Flemish AI plan, and the NWO Veni grant “The face in sign language interaction” awarded to Dr. de Vos. We would like to thank all KK signers who did and did not participate in this study and our research assistants. A special thanks to Anique Sch{\"u}ller for sharing her sentence repetition task methodology with us (Sch{\"u}ller, 2018), and to Yannick Jadoul and Marnix van Soom for help with the statistical analysis. Extremely detailed feedback from two anonymous reviewers and the editor of this issue, Nick Palfreyman, was invaluable in ameliorating this manuscript. In addition, we are grateful for the feedback from the participants of the Symposium on sociolinguistic variation in signed and spoken languages of the Asia-Pacific region. Publisher Copyright: {\textcopyright} John Benjamins Publishing Company. Copyright: Copyright 2023 Elsevier B.V., All rights reserved.",

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AU - Crasborn, Onno

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N2 - Sign languages can be categorized as shared sign languages or deaf community sign languages, depending on the context in which they emerge. It has been suggested that shared sign languages exhibit more variation in the expression of everyday concepts than deaf community sign languages (Meir, Israel, Sandler, Padden, & Aronoff, 2012). For deaf community sign languages, it has been shown that various sociolinguistic factors condition this variation. This study presents one of the first in-depth investigations of how sociolinguistic factors (deaf status, age, clan, gender and having a deaf family member) affect lexical variation in a shared sign language, using a picture description task in Kata Kolok. To study lexical variation in Kata Kolok, two methodologies are devised: the identification of signs by underlying iconic motivation and mapping, and a way to compare individual repertoires of signs by calculating the lexical distances between participants. Alongside presenting novel methodologies to study this type of sign language, we present preliminary evidence of sociolinguistic factors that may influence variation in the Kata Kolok lexicon.

AB - Sign languages can be categorized as shared sign languages or deaf community sign languages, depending on the context in which they emerge. It has been suggested that shared sign languages exhibit more variation in the expression of everyday concepts than deaf community sign languages (Meir, Israel, Sandler, Padden, & Aronoff, 2012). For deaf community sign languages, it has been shown that various sociolinguistic factors condition this variation. This study presents one of the first in-depth investigations of how sociolinguistic factors (deaf status, age, clan, gender and having a deaf family member) affect lexical variation in a shared sign language, using a picture description task in Kata Kolok. To study lexical variation in Kata Kolok, two methodologies are devised: the identification of signs by underlying iconic motivation and mapping, and a way to compare individual repertoires of signs by calculating the lexical distances between participants. Alongside presenting novel methodologies to study this type of sign language, we present preliminary evidence of sociolinguistic factors that may influence variation in the Kata Kolok lexicon.

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The effect of sociolinguistic factors on variation in the Kata Kolok lexicon

Abstract

Bibliographical note

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VLAAI1: Flanders Artificial Intelligence Research program (FAIR) – second cycle

FWOAL852: The emergence of phonology within six generations

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The effect of sociolinguistic factors on variation in the Kata Kolok lexicon

Abstract

Bibliographical note

Access to Document

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Other files and links

Embargoed Document

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Projects

VLAAI1: Flanders Artificial Intelligence Research program (FAIR) – second cycle

FWOAL852: The emergence of phonology within six generations

Cite this