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Evolution of language: An empirical study at eBay Big Data Lab

The evolutionary theory of language predicts that a language will tend towards fewer synonyms for a given object. We subject this and related predictions to empirical tests, using data from the eBay Big Data Lab which let us access all records of the words used by eBay vendors in their item titles,...

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Detalles Bibliográficos
Autores principales: Bodoff, David, Bekkerman, Ron, Dai, Julie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5738037/
https://www.ncbi.nlm.nih.gov/pubmed/29261686
http://dx.doi.org/10.1371/journal.pone.0189107
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author Bodoff, David
Bekkerman, Ron
Dai, Julie
author_facet Bodoff, David
Bekkerman, Ron
Dai, Julie
author_sort Bodoff, David
collection PubMed
description The evolutionary theory of language predicts that a language will tend towards fewer synonyms for a given object. We subject this and related predictions to empirical tests, using data from the eBay Big Data Lab which let us access all records of the words used by eBay vendors in their item titles, and by consumers in their searches. We find support for the predictions of the evolutionary theory of language. In particular, the mapping from object to words sharpens over time on both sides of the market, i.e. among consumers and among vendors. In addition, the word mappings used on the two sides of the market become more similar over time. Our research contributes to the literature on language evolution by reporting results of a truly unique large-scale empirical study.
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spelling pubmed-57380372017-12-29 Evolution of language: An empirical study at eBay Big Data Lab Bodoff, David Bekkerman, Ron Dai, Julie PLoS One Research Article The evolutionary theory of language predicts that a language will tend towards fewer synonyms for a given object. We subject this and related predictions to empirical tests, using data from the eBay Big Data Lab which let us access all records of the words used by eBay vendors in their item titles, and by consumers in their searches. We find support for the predictions of the evolutionary theory of language. In particular, the mapping from object to words sharpens over time on both sides of the market, i.e. among consumers and among vendors. In addition, the word mappings used on the two sides of the market become more similar over time. Our research contributes to the literature on language evolution by reporting results of a truly unique large-scale empirical study. Public Library of Science 2017-12-20 /pmc/articles/PMC5738037/ /pubmed/29261686 http://dx.doi.org/10.1371/journal.pone.0189107 Text en © 2017 Bodoff et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bodoff, David
Bekkerman, Ron
Dai, Julie
Evolution of language: An empirical study at eBay Big Data Lab
title Evolution of language: An empirical study at eBay Big Data Lab
title_full Evolution of language: An empirical study at eBay Big Data Lab
title_fullStr Evolution of language: An empirical study at eBay Big Data Lab
title_full_unstemmed Evolution of language: An empirical study at eBay Big Data Lab
title_short Evolution of language: An empirical study at eBay Big Data Lab
title_sort evolution of language: an empirical study at ebay big data lab
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5738037/
https://www.ncbi.nlm.nih.gov/pubmed/29261686
http://dx.doi.org/10.1371/journal.pone.0189107
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