Projects per year
Personal profile
Expertise
In my research, I use computational methods to study language change, from a bottom-up (agent-based modelling, neural networks, crowdsourcing) and a top-down (phylogenetic reconstruction, computational historical linguistics) perspective.
I obtained my PhD in 2024 from the VUB, supervised by Bart de Boer. In my PhD research, I studied the mechanisms behind language change using agent-based models. I applied my models to real-world case studies, in which questions about morphology and language contact were common denominators. My research was supported by an FWO PhD Fellowship Identifying drivers of language change using neural agent-based models and by the Flanders AI Program.
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Collaborations and top research areas from the last five years
Projects
- 1 Finished
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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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Phonotactic mechanisms behind contact-induced morphological simplification in Alorese: An agent-based model of intergenerational transmission
Dekker, P., Klamer, M. & de Boer, B., 1 May 2025, In: Language dynamics and change. 15, 1, p. 1-39 39 p., 1.Research output: Contribution to journal › Article › peer-review
Open AccessFile15 Downloads (Pure) -
3SG is the most conservative subject marker across languages: An exploratory study of rate of change
Dekker, P., Gipper, S. & De Boer, B., 20 May 2024, The Evolution of Language: Proceedings of the 15th International Conference (Evolang XV). The Evolution of Language Conferences, p. 109-117 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open AccessFile33 Downloads (Pure) -
Conversational priming in repetitional responses as a mechanism in language change: evidence from agent-based modelling
Dekker, P., Gipper, S. & De Boer, B., 1 Dec 2024, In: Linguistics Vanguard. 10, 1, p. 549-564 16 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile35 Downloads (Pure) -
Identifying drivers of language change using agent-based models
Dekker, P., 2024, Crazy Copy Center Productions. 207 p.Research output: Thesis › PhD Thesis
Open AccessFile386 Downloads (Pure) -
The role of generalisation in an Adaptive Resonance Theory model of learning inflection classes
Dekker, P., Rasilo, H. & De Boer, B., 19 May 2024, The Evolution of Language: Proceedings of the 15th International Conference (Evolang XV). The Evolution of Language Conferences, p. 118-121 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open AccessFile34 Downloads (Pure)
Datasets
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Interactive notebook accompanying article "Word prediction in computational historical linguistics"
Dekker, P. (Creator) & Zuidema, W. (Creator), GitHub, 1 Feb 2021
https://github.com/peterdekker/prediction-histling/
Dataset
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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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 Sept 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 Sept 2023Activity: Talk or presentation › Talk or presentation at a conference
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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 › Participating in or organizing an event at an external academic organisation
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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
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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