Development of infants' segmentation of words from native speech: a meta-analytic approach

Development of infants' segmentation of words from native speech: a meta-analytic approach
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DOI:
10.1111/desc.12341
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发表时间:
2016-11-01
影响因子:
3.7
通讯作者:
Cristia, Alejandrina
Cristia, Alejandrina
中科院分区:
心理学1区
文献类型:
--
作者:
Bergmann, Christina;Cristia, Alejandrina

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婴儿至少在6个月大时开始学习单词,这是语言的基石。要做到这一点,他们必须能够从连续的语音中提取单词的语音形式。大量的文献研究了这个过程,称为分词。我们解决了一个基本的问题,不同年龄的婴儿如何段的话,从他们的母语使用元分析方法。根据以前流行的理论和实验工作,我们预计婴儿显示熟悉的偏好早期,随着婴儿变得更加熟练的处理和分割母语切换到新奇的偏好。我们还考虑了这种转换可能发生在不同时间点的可能性,作为婴儿母语的功能,并考虑到各种任务和刺激相关因素的影响,可能会影响难度。来自168个实验的综合结果报告了从3774名婴儿中收集的数据,揭示了所有年龄段的持久熟悉偏好。其他因素,包括母语和实验设计,没有显着的影响。进一步的分析表明,没有选择性数据收集或报告的迹象。我们的结论是,在这一领域经常引用的婴儿信息处理模型可能不适用于从母语中分割单词的情况。
Infants start learning words, the building blocks of language, at least by 6months. To do so, they must be able to extract the phonological form of words from running speech. A rich literature has investigated this process, termed word segmentation. We addressed the fundamental question of how infants of different ages segment words from their native language using a meta-analytic approach. Based on previous popular theoretical and experimental work, we expected infants to display familiarity preferences early on, with a switch to novelty preferences as infants become more proficient at processing and segmenting native speech. We also considered the possibility that this switch may occur at different points in time as a function of infants' native language and took into account the impact of various task- and stimulus-related factors that might affect difficulty. The combined results from 168 experiments reporting on data gathered from 3774 infants revealed a persistent familiarity preference across all ages. There was no significant effect of additional factors, including native language and experiment design. Further analyses revealed no sign of selective data collection or reporting. We conclude that models of infant information processing that are frequently cited in this domain may not, in fact, apply in the case of segmenting words from native speech.