Neural Agent-based Models To Study Language Contact Using Linguistic Data

Research output: Unpublished contribution to conferencePoster

13 Downloads (Pure)

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 languageEnglish
Pages1-6
Number of pages6
Publication statusPublished - 12 Dec 2020
Event4th NeurIPS Workshop on Emergent Communication: Talking to Strangers: Zero-Shot Emergent Communication - Vancouver, Canada
Duration: 12 Dec 202012 Dec 2020
https://sites.google.com/view/emecom2020/home

Workshop

Workshop4th NeurIPS Workshop on Emergent Communication
CountryCanada
CityVancouver
Period12/12/2012/12/20
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.

Cite this