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Media: Computational Modeling of Language Evolution

Submitter: Anthony Aristar

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Linguistic Field(s): Computational Linguistics
Historical Linguistics

Media Body: 'Archaeologists will gain a powerful new tool in their quest to recover ancestral, disappeared languages: Connecting machine learning algorithms with Big Data in this field proved successful and will automate a process that until now took decades. Spoken language changes continuously, and ancient languages eventually die out and disappear - but only apparently, since even modern languages still contain the roots of those proto-languages.

Computer scientists at the University of California, Berkeley, succeeded in creating an automated “time machine,” by feeding huge amounts of modern and ancient known vocabulary and grammar to their self-learning algorithms in order to cross reference and find patterns in the chaos.'

Full article here:
Issue Number: 24.772
Date Posted: February 12, 2013