Projects per year
Personal profile
Expertise
I am a PhD student at the AI Lab of the VUB, supervised by Bart de Boer. In my PhD project (start: 2019), I use agent-based models to study the social, cognitive and language-specific factors that drive language change. I apply my models to case studies from the languages of the world. In addition to agent-based models. My research is supported by an FWO PhD Fellowship Identifying drivers of language change using neural agent-based models. I was previously funded by the Flanders AI Programme.
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Dive into the research topics where Peter Dekker is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Projects
- 1 Active
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FWOTM1012: Identifying drivers of language change using neural agent-based models.
1/11/20 → 31/10/24
Project: Fundamental
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Adaptive Resonance Theory as a computational model of learning inflection classes
Dekker, P., Rasilo, H. & De Boer, B., 2 Sep 2023.Research output: Unpublished contribution to conference › Poster
Open Access -
Demo: Languages competing in a city
Dekker, P., 1 Mar 2023Research output: Non-textual form › Digital or Visual Products
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Language-specific and universal factors behind morphological simplification: An agent-based modelling study of Alorese
Dekker, P., Klamer, M. & De Boer, B., 5 Sep 2022, Proceedings of the Joint Conference on Language Evolution. 2022 ed. Joint Conference on Language Evolution, p. 57-59 3 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open AccessFile8 Downloads (Pure) -
Learning inflection classes using Adaptive Resonance Theory
Dekker, P. & De Boer, B., 5 Sep 2022.Research output: Unpublished contribution to conference › Poster
Open Access -
Computersimulaties laten zien hoe taal versimpelt
Dekker, P., 10 Jun 2021, Wtnschp.be (wetenschapsblog).Research output: Contribution to specialist/vulgarizing publication › Blog › Vulgarizing
Open Access
Prizes
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FWO predoctoral fellowship fundamental research: Identifying drivers of language change using neural agent-based models
Dekker, Peter (Recipient), 8 Oct 2020
Prize: Fellowship awarded competitively
Activities
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Thematic panel "Agent-based modelling in historical sociolinguistics" at Historical Sociolinguistics Network Conference (HiSoN) 2023
Peter Dekker (Organiser), Dirk Pijpops (Organiser) & Bart De Boer (Organiser)
31 May 2023Activity: Participating in or organising an event › Participation in workshop, seminar
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Agent-based simulations of language change provide insights for human-agent interaction: Two case studies of social dynamics
Peter Dekker (Speaker), Sonja Gipper (Speaker), Marian Klamer (Speaker) & Bart De Boer (Speaker)
30 Sep 2023Activity: Talk or presentation › Talk or presentation at a conference
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Explaining the processes of change behind a phylogenetic tree: Agent-based models and coalescent simulations
Peter Dekker (Speaker)
7 Feb 2023Activity: Talk or presentation › Talk at an external academic organisation
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Agent-based simulations of affix change: Interacting mechanisms under social dynamics
Peter Dekker (Speaker), Sonja Gipper (Speaker), Marian Klamer (Speaker) & Bart De Boer (Speaker)
18 Aug 2023Activity: Talk or presentation › Talk or presentation at a conference
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Phonotactic influence on morphological simplification: Implications for theories of protolanguage
Peter Dekker (Speaker) & Bart De Boer (Speaker)
27 Sep 2023Activity: Talk or presentation › Talk or presentation at a conference
Press/Media
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Gaat een steenoud sterrenbeeldverhaal helemaal terug naar de prehistorie?
27/02/21
1 Media contribution
Press/Media: Expert Comment
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Neural networks help discover how languages are related
19/11/19
1 Media contribution
Press/Media: Other
Thesis
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Reconstructing language ancestry by performing word prediction with neural networks
Author: Dekker, P., 25 Jan 2018Student thesis: Master's Thesis
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