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Quantitative linguistic predictors of infants’ learning of specific English words

机译:婴儿学习特定英语单词的定量语言预测因子

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摘要

To evaluate which features of spoken language aid infant word learning, a corpus of infant-directed speech () was characterized on several linguistic dimensions and statistically related to the infants’ vocabulary outcomes word-by-word. Comprehension (at 12, 15 months) and production (15 months), were predicted by frequency, frequency of occurrence in one-word utterances, concreteness, utterance length, and typical duration. These features have been proposed to influence learning before, but here their relative contributions were measured. Mothers’ data predicted learning in their own children better than in other children; thus, vocabulary is measurably aligned within families. These analyses provide a quantitative basis for claims concerning the relevance of several properties of maternal English speech in facilitating early word learning.
机译:为了评估口语的哪些特征有助于婴儿单词学习,在几个语言维度上对婴儿语音的语料库()进行了表征,并逐字统计地统计了婴儿的词汇结果。通过频率,单字发声的发生频率,具体性,发声长度和典型持续时间来预测理解(在12、15个月时)和生产(15个月)。这些功能以前曾被提议影响学习,但是这里测量了它们的相对贡献。母亲的数据预测自己的孩子比其他孩子学习得更好。因此,词汇在家庭中的排列是可以衡量的。这些分析为有关母体英语言语若干属性与促进早期单词学习的相关性的主张提供了定量依据。

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