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, I draw upon techniques from deep learning and bioinformatics. 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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Projects
- 1 Active
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FWOTM1012: Identifying drivers of language change using neural agent-based models.
1/11/20 → 31/10/22
Project: Fundamental
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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 -
Word prediction in computational historical linguistics
Dekker, P. & Zuidema, W., 4 Feb 2021, In : Journal of Language Modelling. 8, 2, p. 295–336 42 p.Research output: Contribution to journal › Article
Open AccessFile44 Downloads (Pure) -
Linguistic Enrichment of Historical Dutch using Deep Learning
Creten, S., Dekker, P. & Vandeghinste, V., 13 Dec 2020, In : Computational Linguistics in the Netherlands Journal. 10, p. 57-72 16 p.Research output: Contribution to journal › Article
Open AccessFile25 Downloads (Pure) -
Neural Agent-based Models To Study Language Contact Using Linguistic Data
Dekker, P. & De Boer, B., 12 Dec 2020, p. 1-6. 6 p.Research output: Unpublished contribution to conference › Poster
Open AccessFile1 Downloads (Pure) -
Crowdsourcing corpus cleaning for language learning – an approach proposal
Zingano Kuhn, T., Dekker, P., Šandrih, B. & Zviel-Girshin, R., 14 Mar 2019.Research output: Unpublished contribution to conference › Poster
Open AccessFile
Prizes
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FWO predoctoral fellowship fundamental research: Identifying drivers of language change using neural agent-based models
Peter Dekker (Recipient), 8 Oct 2020
Prize: Fellowship awarded competitively
Activities
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Workshop "Language preservation and agent-based computer simulations"
Peter Dekker (Organiser), Katherine Mudd (Organiser), Bart De Boer (Supervisor)25 Mar 2021Activity: Participating in or organising an event › Participating in or organizing a school event
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Do repetitional responses boost the transmission of linguistic innovations? Evidence from agent-based modelling.
Peter Dekker (Speaker), Sonja Gipper (Speaker)3 Dec 2021Activity: Talk or presentation › Talk or presentation at a conference
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Analysing contact–induced simplification in Alorese using agent–based models
Peter Dekker (Presenter), Marian Klamer (Presenter), Bart De Boer (Presenter)3 Sep 2021Activity: Talk or presentation › Talk or presentation at a conference
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Linguistic enrichment of historical Dutch using deep learning
Silke Creten (Speaker), Peter Dekker (Speaker), Vincent Vandeghinste (Speaker)30 Jan 2020Activity: Talk or presentation › Talk or presentation at a conference
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CLARIAH Chaining Search: A Platform for Combined Exploitation of Multiple Linguistic Resources
Peter Dekker (Speaker), Mathieu Fannee (Contributor), Jesse de Does (Contributor)30 Sep 2019 → 2 Oct 2019Activity: 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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