On the Spontaneous Emergence of Discrete and Compositional Signals

Nur Lan · Emmanuel Chemla · Shane Steinert‐Threlkeld

4 citations0/0 files storedProceedings of the conference - Association for Computational Linguistics. Meeting

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Language and cultural evolution Syntax, Semantics, Linguistic Variation Language Development and Disorders

Abstract

We propose a general framework to study language emergence through signaling games with neural agents.Using a continuous latent space, we are able to (i) train using backpropagation, (ii) show that discrete messages nonetheless naturally emerge.We explore whether categorical perception effects follow and show that the messages are not compositional.

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1957The discrimination of speech sounds within and across phoneme boundaries.1960The origin of speech.2015Compression and communication in the cultural evolution of linguistic structure 2018Emergence of Grounded Compositional Language in Multi-Agent Populations 2000Self-organization in vowel systems 2010Signals: Evolution, Learning, and Information 2017Emergence of Grounded Compositional Language in Multi-Agent Populations 2016Multi-Agent Cooperation and the Emergence of (Natural) Language

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2024Models of symbol emergence in communication: a conceptual review and a guide for avoiding local minima

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