Literature DB >> 23071337

Language learners restructure their input to facilitate efficient communication.

Maryia Fedzechkina1, T Florian Jaeger, Elissa L Newport.   

Abstract

Languages of the world display many structural similarities. We test the hypothesis that some of these structural properties may arise from biases operating during language acquisition that shape languages over time. Specifically, we investigate whether language learners are biased toward linguistic systems that strike an efficient balance between robust information transfer, on the one hand, and effort or resource demands, on the other hand, thereby increasing the communicative utility of the acquired language. In two experiments, we expose learners to miniature artificial languages designed in such a way that they do not use their formal devices (case marking) efficiently to facilitate robust information transfer. We find that learners restructure such languages in ways that facilitate efficient information transfer compared with the input language. These systematic changes introduced by the learners follow typologically frequent patterns, supporting the hypothesis that some of the structural similarities found in natural languages are shaped by biases toward communicatively efficient linguistic systems.

Mesh:

Year:  2012        PMID: 23071337      PMCID: PMC3497763          DOI: 10.1073/pnas.1215776109

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  18 in total

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4.  Cue effectiveness in communicatively efficient discourse production.

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Journal:  Cogn Sci       Date:  2012-06-01

5.  On language 'utility': processing complexity and communicative efficiency.

Authors:  T Florian Jaeger; Harry Tily
Journal:  Wiley Interdiscip Rev Cogn Sci       Date:  2010-11-18

6.  Acquiring and processing verb argument structure: distributional learning in a miniature language.

Authors:  Elizabeth Wonnacott; Elissa L Newport; Michael K Tanenhaus
Journal:  Cogn Psychol       Date:  2007-07-27       Impact factor: 3.468

7.  Word lengths are optimized for efficient communication.

Authors:  Steven T Piantadosi; Harry Tily; Edward Gibson
Journal:  Proc Natl Acad Sci U S A       Date:  2011-01-28       Impact factor: 11.205

8.  Redundancy and reduction: speakers manage syntactic information density.

Authors:  T Florian Jaeger
Journal:  Cogn Psychol       Date:  2010-08       Impact factor: 3.468

9.  Cumulative cultural evolution in the laboratory: an experimental approach to the origins of structure in human language.

Authors:  Simon Kirby; Hannah Cornish; Kenny Smith
Journal:  Proc Natl Acad Sci U S A       Date:  2008-07-30       Impact factor: 11.205

10.  Getting it right by getting it wrong: when learners change languages.

Authors:  Carla L Hudson Kam; Elissa L Newport
Journal:  Cogn Psychol       Date:  2009-03-25       Impact factor: 3.468

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  39 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-03       Impact factor: 11.205

2.  Seeking predictions from a predictive framework.

Authors:  T Florian Jaeger; Victor Ferreira
Journal:  Behav Brain Sci       Date:  2013-06-24       Impact factor: 12.579

3.  The effect of Zipfian frequency variations on category formation in adult artificial language learning.

Authors:  Kathryn D Schuler; Patricia A Reeder; Elissa L Newport; Richard N Aslin
Journal:  Lang Learn Dev       Date:  2017-08-02

4.  Balancing Effort and Information Transmission During Language Acquisition: Evidence From Word Order and Case Marking.

Authors:  Maryia Fedzechkina; Elissa L Newport; T Florian Jaeger
Journal:  Cogn Sci       Date:  2016-02-22

5.  In search of resilient and fragile properties of language.

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6.  Tracing the roots of syntax with Bayesian phylogenetics.

Authors:  Luke Maurits; Thomas L Griffiths
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-05       Impact factor: 11.205

7.  Learning Additional Languages as Hierarchical Probabilistic Inference: Insights From First Language Processing.

Authors:  Bozena Pajak; Alex B Fine; Dave F Kleinschmidt; T Florian Jaeger
Journal:  Lang Learn       Date:  2016-03-14

8.  Revise and resubmit: how real-time parsing limitations influence grammar acquisition.

Authors:  Lucia Pozzan; John C Trueswell
Journal:  Cogn Psychol       Date:  2015-05-27       Impact factor: 3.468

9.  Children and Adults as Language Learners: Rules, Variation, and Maturational Change.

Authors:  Elissa L Newport
Journal:  Top Cogn Sci       Date:  2019-03-05

10.  Statistical language learning: computational, maturational, and linguistic constraints.

Authors:  Elissa L Newport
Journal:  Lang Cogn       Date:  2016-07-28
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