Projects per year
Abstract
In this paper, we propose an outline for linguistic research on language change, as observed in the languages of the world, using neural agent-based models of emergent communication. We describe how such models could be used to study morphological simplification, using a case study of language contact in Eastern Indonesia. A neural architecture is used to represent hypothesized cognitive mechanisms of language change: a generalization mechanism, the procedural/declarative model, and a phonological mechanism, the hyper & hypo articulation model, that involves a theory of mind of the listener.
Original language | English |
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Pages | 1-6 |
Number of pages | 6 |
Publication status | Published - 12 Dec 2020 |
Event | 4th NeurIPS Workshop on Emergent Communication: Talking to Strangers: Zero-Shot Emergent Communication - Vancouver, Canada Duration: 12 Dec 2020 → 12 Dec 2020 https://sites.google.com/view/emecom2020/home |
Workshop
Workshop | 4th NeurIPS Workshop on Emergent Communication |
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Country | Canada |
City | Vancouver |
Period | 12/12/20 → 12/12/20 |
Internet address |
Keywords
- agent-based models
- neural networks
- emergent communication
- language change
- language contact
- deep learning
Fingerprint
Dive into the research topics of 'Neural Agent-based Models To Study Language Contact Using Linguistic Data'. Together they form a unique fingerprint.Projects
- 2 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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VLAAI1: Subsidie: Onderzoeksprogramma Artificiële Intelligentie (AI) Vlaanderen
1/07/19 → 31/12/23
Project: Applied