Projects per year
Abstract
In this paper, we study how phonotactic constraints can play a role in contact-induced morphological simplification. We hypothesize that, in languages with constraints on certain consonant sequences, L2 speakers acquiring the language overgeneralize these constraints and avoid consonant sequences formed by morphological affixing. The resulting process of reduction of such sequences could then lead to loss of morphological affixes. We evaluate this hypothesis using data from Alorese, an Austronesian language spoken in eastern Indonesia, which underwent morphological simplification and has a large proportion of L2 speakers. Results from an agent-based model, which allows for mechanisms to be tested in isolation, indicate that phonotactic mechanisms indeed play a role in contact-induced morphological simplification. Phonotactic mechanisms lead to the strongest simplification when combined with a generalization mechanism, which spreads the simplified forms across different verbs. The model results underline the role of multiple interacting mechanisms in language change.
| Original language | English |
|---|---|
| Article number | 1 |
| Pages (from-to) | 1-39 |
| Number of pages | 39 |
| Journal | Language dynamics and change |
| Volume | 15 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 May 2025 |
| Event | Joint Conference on Language Evolution - Kanazawa, Japan Duration: 5 Sept 2022 → 8 Sept 2022 Conference number: 2022 https://sites.google.com/view/joint-conf-language-evolution/home |
Bibliographical note
Publisher Copyright:© Peter Dekker et al., 2025.
Keywords
- agent-based modeling
- language contact
- morphology
- phonology
- consonant sequences
- phonology-morphology interface
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VLAAI1: Flanders Artificial Intelligence Research program (FAIR) – second cycle
Nowe, A. (Administrative Promotor) & Vanderborght, B. (Co-Promotor)
1/01/24 → 31/12/28
Project: Applied
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FWOTM1012: Identifying drivers of language change using neural agent-based models.
Dekker, P. (Mandate) & De Boer, B. (Administrative Promotor)
1/11/20 → 31/10/24
Project: Fundamental
Research output
- 1 Citations
- 1 PhD Thesis
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Identifying drivers of language change using agent-based models
Dekker, P., 2024, Crazy Copy Center Productions. 207 p.Research output: Thesis › PhD Thesis
Open AccessFile
Prizes
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FWO predoctoral fellowship fundamental research: Identifying drivers of language change using neural agent-based models
Dekker, P. (Recipient), 8 Oct 2020
Prize: Fellowship awarded competitively
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