Statistically coherent labels facilitate categorization in 8-month-olds

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• 作者：Lucy C. Erickson^a ; ^{lerickso@andrew.cmu.edu" class="auth_mail} ; Erik D. Thiessen^a ; Katharine Graf Estes^b
• 关键词：Statistical learning ; Word segmentation ; Labels ; Categorization
• 刊名：Journal of Memory and Language
• 出版年：April, 2014
• 年：2014
• 卷：72
• 期：Complete
• 页码：49-58
• 全文大小：516 K

文摘

There is considerable evidence that infants can segment speech using syllable co-occurrence probabilities; however, relatively less is known about the nature of the representations formed during this process. The present studies tested the prediction that statistically segmented items should exhibit a specific property of real words, namely, these items should have a facilitative effect on infant categorization. During the segmentation phase, eight-month-old infants listened to a fluent speech stream that contained statistical word boundary cues. Infants were then tested on their ability to categorize drawings of an unfamiliar category when category exemplars were paired with either high-probability or low-probability labels from the segmentation phase. Infants who heard high-probability labels showed evidence of categorization. In contrast, infants who heard low-probability labels did not. A follow up experiment revealed that this effect was due to facilitation for high-probability words rather than inhibition for low-probability items. These results fit with theoretical accounts that suggest that infants treat statistically segmented units as potential words.