Literature DB >> 30267952

Compositional structure can emerge without generational transmission.

Limor Raviv1, Antje Meyer2, Shiri Lev-Ari3.   

Abstract

Experimental work in the field of language evolution has shown that novel signal systems become more structured over time. In a recent paper, Kirby, Tamariz, Cornish, and Smith (2015) argued that compositional languages can emerge only when languages are transmitted across multiple generations. In the current paper, we show that compositional languages can emerge in a closed community within a single generation. We conducted a communication experiment in which we tested the emergence of linguistic structure in different micro-societies of four participants, who interacted in alternating dyads using an artificial language to refer to novel meanings. Importantly, the communication included two real-world aspects of language acquisition and use, which introduce compressibility pressures: (a) multiple interaction partners and (b) an expanding meaning space. Our results show that languages become significantly more structured over time, with participants converging on shared, stable, and compositional lexicons. These findings indicate that new learners are not necessary for the formation of linguistic structure within a community, and have implications for related fields such as developing sign languages and creoles.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Artificial language experiments; Communication; Compositionality; Input variability; Iterated learning; Language evolution

Mesh:

Year:  2018        PMID: 30267952     DOI: 10.1016/j.cognition.2018.09.010

Source DB:  PubMed          Journal:  Cognition        ISSN: 0010-0277


  4 in total

1.  Larger communities create more systematic languages.

Authors:  Limor Raviv; Antje Meyer; Shiri Lev-Ari
Journal:  Proc Biol Sci       Date:  2019-07-17       Impact factor: 5.349

2.  Amount of Learning and Signal Stability Modulate Emergence of Structure and Iconicity in Novel Signaling Systems.

Authors:  Vera Kempe; Nicolas Gauvrit; Nikolay Panayotov; Sheila Cunningham; Monica Tamariz
Journal:  Cogn Sci       Date:  2021-11

3.  Emerging Grounded Shared Vocabularies Between Human and Machine, Inspired by Human Language Evolution.

Authors:  Tom Kouwenhoven; Tessa Verhoef; Roy de Kleijn; Stephan Raaijmakers
Journal:  Front Artif Intell       Date:  2022-04-26

4.  A model of contact-induced language change: Testing the role of second language speakers in the evolution of Mozambican Portuguese.

Authors:  Anna Jon-And; Elliot Aguilar
Journal:  PLoS One       Date:  2019-04-25       Impact factor: 3.240

  4 in total

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