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最小词对的跨情境学习

Cross-Situational Learning of Minimal Word Pairs.

作者信息

Escudero Paola, Mulak Karen E, Vlach Haley A

机构信息

MARCS Institute, University of Western Sydney.

Department of Educational Psychology, University of Wisconsin-Madison.

出版信息

Cogn Sci. 2016 Mar;40(2):455-65. doi: 10.1111/cogs.12243. Epub 2015 Apr 13.

Abstract

Cross-situational statistical learning of words involves tracking co-occurrences of auditory words and objects across time to infer word-referent mappings. Previous research has demonstrated that learners can infer referents across sets of very phonologically distinct words (e.g., WUG, DAX), but it remains unknown whether learners can encode fine phonological differences during cross-situational statistical learning. This study examined learners' cross-situational statistical learning of minimal pairs that differed on one consonant segment (e.g., BON-TON), minimal pairs that differed on one vowel segment (e.g., DEET-DIT), and non-minimal pairs that differed on two or three segments (e.g., BON-DEET). Learners performed above chance for all pairs, but performed worse on vowel minimal pairs than on consonant minimal pairs or non-minimal pairs. These findings demonstrate that learners can encode fine phonetic detail while tracking word-referent co-occurrence probabilities, but they suggest that phonological encoding may be weaker for vowels than for consonants.

摘要

单词的跨情境统计学习涉及跨时间追踪听觉单词和物体的共现情况,以推断单词与所指对象的映射关系。先前的研究表明,学习者能够在一组发音非常不同的单词(如WUG、DAX)中推断所指对象,但尚不清楚学习者在跨情境统计学习过程中是否能够编码精细的语音差异。本研究考察了学习者对在一个辅音片段上不同的最小对(如BON - TON)、在一个元音片段上不同的最小对(如DEET - DIT)以及在两个或三个片段上不同的非最小对(如BON - DEET)的跨情境统计学习。学习者对所有词对的表现均高于随机水平,但在元音最小对上的表现比在辅音最小对或非最小对上更差。这些发现表明,学习者在追踪单词与所指对象的共现概率时能够编码精细的语音细节,但也表明元音的语音编码可能比辅音更弱。

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