Language evolution 'in silico': From large-scale data to artificial agents creating languages from scratch

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1. Verfasser: Thomas Brochhagen
Format: Artículo científico
Sprache:en
Veröffentlicht: Universitat de València 2025
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author Thomas Brochhagen
author_facet Thomas Brochhagen
contents Language evolution 'in silico': From large-scale data to artificial agents creating languages from scratch Thomas Brochhagen Comunicación Language typology evolution universals artificial intelligence We all speak a language and have intuitions about it: from its vocabulary to the way words are put together according to its grammar. However, much is still to be understood about the processes that make language even possible and those that shape its evolution. Recent computational advances have enabled us to address these issues from new angles. This article highlights methods and findings that the age of computation has given rise to, from learning from large-scale data from thousands of languages to the evolution of languages created by artificial intelligence. 2025 artículo científico 2174-3487 https://www.redalyc.org/articulo.oa?id=511782474005 https://www.redalyc.org/journal/5117/511782474005/ https://www.redalyc.org/journal/5117/511782474005/html/ https://www.redalyc.org/journal/5117/511782474005/511782474005.epub https://www.redalyc.org/journal/5117/511782474005/movil 10.7203/metode.15.27692 en http://www.redalyc.org/revista.oa?id=5117 Mètode Science Studies Journal application/pdf Universitat de València Mètode Science Studies Journal (España) Num.3 Vol.15
format Artículo científico
id redalyc_511782474005
institution Redalyc
language en
publishDate 2025
publisher Universitat de València
spellingShingle Language evolution 'in silico': From large-scale data to artificial agents creating languages from scratch
Thomas Brochhagen
Comunicación
Language
typology
evolution
universals
artificial intelligence
Language evolution 'in silico': From large-scale data to artificial agents creating languages from scratch Thomas Brochhagen Comunicación Language typology evolution universals artificial intelligence We all speak a language and have intuitions about it: from its vocabulary to the way words are put together according to its grammar. However, much is still to be understood about the processes that make language even possible and those that shape its evolution. Recent computational advances have enabled us to address these issues from new angles. This article highlights methods and findings that the age of computation has given rise to, from learning from large-scale data from thousands of languages to the evolution of languages created by artificial intelligence. 2025 artículo científico 2174-3487 https://www.redalyc.org/articulo.oa?id=511782474005 https://www.redalyc.org/journal/5117/511782474005/ https://www.redalyc.org/journal/5117/511782474005/html/ https://www.redalyc.org/journal/5117/511782474005/511782474005.epub https://www.redalyc.org/journal/5117/511782474005/movil 10.7203/metode.15.27692 en http://www.redalyc.org/revista.oa?id=5117 Mètode Science Studies Journal application/pdf Universitat de València Mètode Science Studies Journal (España) Num.3 Vol.15
title Language evolution 'in silico': From large-scale data to artificial agents creating languages from scratch
topic Comunicación
Language
typology
evolution
universals
artificial intelligence
url https://www.redalyc.org/articulo.oa?id=511782474005
https://www.redalyc.org/journal/5117/511782474005/
https://www.redalyc.org/journal/5117/511782474005/html/
https://www.redalyc.org/journal/5117/511782474005/511782474005.epub
https://www.redalyc.org/journal/5117/511782474005/movil