Document Detail

Learning Phonemes With a Proto-Lexicon.
MedLine Citation:
PMID:  22985465     Owner:  NLM     Status:  Publisher    
Before the end of the first year of life, infants begin to lose the ability to perceive distinctions between sounds that are not phonemic in their native language. It is typically assumed that this developmental change reflects the construction of language-specific phoneme categories, but how these categories are learned largely remains a mystery. Peperkamp, Le Calvez, Nadal, and Dupoux (2006) present an algorithm that can discover phonemes using the distributions of allophones as well as the phonetic properties of the allophones and their contexts. We show that a third type of information source, the occurrence of pairs of minimally differing word forms in speech heard by the infant, is also useful for learning phonemic categories and is in fact more reliable than purely distributional information in data containing a large number of allophones. In our model, learners build an approximation of the lexicon consisting of the high-frequency n-grams present in their speech input, allowing them to take advantage of top-down lexical information without needing to learn words. This may explain how infants have already begun to exhibit sensitivity to phonemic categories before they have a large receptive lexicon.
Andrew Martin; Sharon Peperkamp; Emmanuel Dupoux
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-9-17
Journal Detail:
Title:  Cognitive science     Volume:  -     ISSN:  1551-6709     ISO Abbreviation:  Cogn Sci     Publication Date:  2012 Sep 
Date Detail:
Created Date:  2012-9-18     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7708195     Medline TA:  Cogn Sci     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012 Cognitive Science Society, Inc.
Laboratoire de Sciences Cognitives et Psycholinguistique (EHESS-ENS-CNRS) Laboratory for Language Development, RIKEN Brain Science Institute.
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