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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,...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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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. |
format | Online Article Text |
id | pubmed-5738037 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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