Computation of conditional probability statistics by 8-month-old infants
Computation of conditional probability statistics by 8-month-old infants
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DOI：
10.1111/1467-9280.00063
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发表时间：
1998-07-01
影响因子：
8.2
通讯作者：
Newport, EL
中科院分区：
文献类型：
--
作者：
Aslin, RN;Saffran, JR;Newport, EL
最近的一份报告表明，8个月大的婴儿可以分割一个连续的语音音节流，不包含声学或韵律线索的单词边界，进入单词状单位后，只有2分钟的听力经验（Saffran，Aslin，和纽波特，1996年）。因此，一个强大的学习机制，能够提取统计信息Slam流利的语音是在早期的发展。本研究扩展了这些结果，通过记录特殊类型的统计计算过渡（条件）的概率婴儿用来解决这个词分割任务。一个人工语言语料库，由连续流的三音节无意义的话，被提交给8个月大的3分钟。postfamiliarization测试比较了婴儿的反应，字与部分字（三音节序列跨越字边界）。语料库的构建使得测试词和部分词在频率上匹配，但是它们的转移概率不同。婴儿表现出可靠的辨别单词和部分单词的能力，从而证明了基于音节对的过渡概率的连续语音到单词的快速分段。
A recenr report demonstrated that 8-month-olds can segment a continuous stream of speech syllables, containing no acoustic or prosodic cues to word boundaries, into wordlike units after only 2 min of listening experience (Saffran, Aslin, & Newport, 1996). Thus, a powerful learning mechanism capable of extracting statistical information Slam fluent speech is available early in development. The present study extends these results by documenting the particularly type of statistical computation-transitional (conditional) probability-used by infants to solve this word-segmentation task. An artificial language corpus, consisting of a continuous stream of trisyllabic nonsense words, was presented to 8-month-olds for 3 min. A postfamiliarization test compared the infants' responses to words versus part-words (trisyllabic sequences spanning word boundaries). The corpus was constructed so that test words and part-words were matched in frequency, but differed in their transitional probabilities. infants showed reliable discrimination of words from part-words, thereby demonstrating rapid segmentation of continuous speech into words on the basis of transitional probabilities of syllable pairs.