From Statistics to Meaning
From Statistics to Meaning
复制标题
从统计到意义
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
J. Saffran
中科院分区：
文献类型：
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作者：
Jill Lany;J. Saffran
婴儿对他们听觉语言输入中标记单词类别的统计模式高度敏感（例如，名词和动词）。然而，这是未知的经验，这些线索是否有利于收购的语义属性的词类别。在一项测试这一假设的研究中，婴儿首先听一种人工语言，其中单词类别可以通过统计线索可靠地区分（实验组），或者这些属性不提示类别成员关系（控制组）。然后，两组人都接受了来自两个类别（动物和车辆）的单词和图片之间的相同配对的训练。只有实验组的婴儿学习了特定单词和图片之间的训练联系。此外，这些婴儿将这种模式概括为包括新的配对。这些结果表明，标记词汇类别的统计线索的经验设置了学习单个单词的含义和概括的含义，以新的类别成员的阶段。
Infants are highly sensitive to statistical patterns in their auditory language input that mark word categories (e.g., noun and verb). However, it is unknown whether experience with these cues facilitates the acquisition of semantic properties of word categories. In a study testing this hypothesis, infants first listened to an artificial language in which word categories were reliably distinguished by statistical cues (experimental group) or in which these properties did not cue category membership (control group). Both groups were then trained on identical pairings between the words and pictures from two categories (animals and vehicles). Only infants in the experimental group learned the trained associations between specific words and pictures. Moreover, these infants generalized the pattern to include novel pairings. These results suggest that experience with statistical cues marking lexical categories sets the stage for learning the meanings of individual words and for generalizing meanings to new category members.
影响因子：
4.6
作者：
JUSCZYK, PW;CUTLER, A;REDANZ, NJ
通讯作者：
REDANZ, NJ