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Researcher
Katie Mudd
- Keywords:Computer science (incl. applied informatics)
- Disciplines:Evolutionary linguistics, Sign language research, Artificial intelligence
Affiliations
- Informatics and Applied Informatics (Department)
Member
From1 Dec 2021 → 31 Aug 2022 - Informatics and Applied Informatics (Department)
Member
From8 Apr 2019 → 30 Nov 2021 - Faculty of Sciences and Bioengineering Sciences (Faculty)
Member
From11 Jan 2018 → 8 Mar 2022 - Informatics and Applied Informatics (Department)
Member
From1 Nov 2017 → 31 Aug 2022 - Informatics and Applied Informatics (Department)
Member
From1 Nov 2017 → 20 Jan 2019
Publications
1 - 5 of 5
- Shared context facilitates lexical variation in sign language emergence.(2022)
Authors: Katie Mudd, Connie de Vos, Bart De Boer
Pages: 31-56 - How social structure affects the persistence and features of shared sign languages(2022)
Authors: Katie Mudd, Bart De Boer, Connie de Vos
Number of pages: 298 - The effect of network structure on lexical variablity in sign language communities(2022)
Authors: Katie Mudd, Marnix Van Soom, Connie de Vos, Bart De Boer
Pages: 525-527 - The effect of sociolinguistic factors on variation in the Kata Kolok lexicon(2020)
Authors: Katie Mudd, Hannah Lutzenberger, Connie de Vos, Bart De Boer, Paula Fikkert, Onno Crasborn
Pages: 53-88 - An agent-based model of sign language persistence informed by real-world data(2020)
Authors: Katie Mudd, Connie de Vos, Bart De Boer
Pages: 158–187