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Scientists develop a computational approach to understand how infants perceive language


Scientists develop a computational approach to understand how infants perceive language
Languages differ in the sounds they use. The Japanese language, for example, does not distinguish between r and l sounds as in rock versus lock. Remarkably, infants become attuned to the sounds of their native language before they learn to speak. One-year-old babies, for example, less readily distinguish between rock and lock when living in an environment where Japanese, rather than English, is spoken.
Influential scientific accounts of this early phonetic learning phenomenon initially proposed that infants group sounds into native vowel- and consonant-like phonetic categories through a statistical clustering mechanism known as distributional learning. ....

United States , University Of Maryland , France General , Sharon Goldwater , Thomas Schatz , Emmanuel Dupoux , Nga Cao , Naomi Feldman , Emily Henderson , University Of Edinburgh School Informatics , Proceedings Of The National Academy Sciences , Institute For Language , National Academy , Lead Author , Postdoctoral Associate , Maryland Institute , Advanced Computer , Ecole Normale Sup , Cognitive Machine Learning , American English , Computational Linguistics , Information Procession , Machine Learning , ஒன்றுபட்டது மாநிலங்களில் , பல்கலைக்கழகம் ஆஃப் மேரிலாந்து , பிரான்ஸ் ஜநரல் ,

A computational approach to understanding how infants perceive language


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Languages differ in the sounds they use. The Japanese language, for example, does not distinguish between r and l sounds as in rock versus lock. Remarkably, infants become attuned to the sounds of their native language before they learn to speak. One-year-old babies, for example, less readily distinguish between rock and lock when living in an environment where Japanese, rather than English, is spoken.
Influential scientific accounts of this early phonetic learning phenomenon initially proposed that infants group sounds into native vowel- and consonant-like phonetic categories through a statistical clustering mechanism known as distributional learning.
The idea that infants learn consonant- and vowel-like phonetic categories has been challenged, however, by a new study published this week in the ....

United States , France General , Sharon Goldwater , Thomas Schatz , Emmanuel Dupoux , Nga Cao , Naomi Feldman , University Of Edinburgh School Informatics , University Of Maryland , Proceedings Of The National Academy Sciences , Institute For Language , National Academy , Maryland Institute , Advanced Computer Studies , Ecole Normale Sup , Cognitive Machine Learning , American English , Computational Linguistics , Information Procession , ஒன்றுபட்டது மாநிலங்களில் , பிரான்ஸ் ஜநரல் , ஷரோன் தங்க நீர் , தாமஸ் ஸ்ச்த்தஜ் , ங்க சாவ் , நவோமி ஃபெல்ட்மந் , பல்கலைக்கழகம் ஆஃப் எடின்பர்க் பள்ளி தகவல் ,