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儿童可能存储的是简短的而非频繁或可预测的语块:一项语料库研究的定量证据。

Children Probably Store Short Rather Than Frequent or Predictable Chunks: Quantitative Evidence From a Corpus Study.

作者信息

Grimm Robert, Cassani Giovanni, Gillis Steven, Daelemans Walter

机构信息

Department of Linguistics, Computational Linguistics and Psycholinguistics Research Center, University of Antwerp, Antwerp, Belgium.

出版信息

Front Psychol. 2019 Jan 30;10:80. doi: 10.3389/fpsyg.2019.00080. eCollection 2019.

Abstract

One of the tasks faced by young children is the segmentation of a continuous stream of speech into discrete linguistic units. Early in development, syllables emerge as perceptual primitives, and the wholesale storage of syllable chunks is one possible strategy for bootstrapping the segmentation process. Here, we investigate what types of chunks children store. Our method involves selecting syllabified utterances from corpora of child-directed speech, which we vary according to (a) their length in syllables, (b) the mutual predictability of their syllables, and (c) their frequency. We then use the number of utterances within which words are contained to predict the time course of word learning, arguing that utterances which perform well at this task are also more likely to be stored, by young children, as undersegmented chunks. Our results show that short utterances are best-suited for predicting when children acquire the words contained within them, although the effect is rather small. Beyond this, we also find that short utterances are the most likely to correspond to words. Together, the two findings suggest that children may not store many complete utterances as undersegmented chunks, with most of the units that children store as hypothesized words corresponding to words. However, dovetailing with an item-based account of language-acquisition, when children do store undersegmented chunks, these are likely to be short sequences-not frequent or internally predictable multi-word chunks. We end by discussing implications for work on formulaic multi-word sequences.

摘要

幼儿面临的任务之一是将连续的语音流分割成离散的语言单位。在发育早期,音节作为感知原语出现,而对音节组块进行整体存储是引导分割过程的一种可能策略。在此,我们研究儿童存储的组块类型。我们的方法包括从面向儿童的语音语料库中选择音节化话语,并根据以下因素进行变化:(a) 它们的音节长度,(b) 它们音节之间的相互可预测性,以及 (c) 它们的频率。然后,我们使用包含单词的话语数量来预测单词学习的时间进程,认为在这项任务中表现良好的话语也更有可能被幼儿作为分割不足的组块存储起来。我们的结果表明,短话语最适合预测儿童何时习得其中包含的单词,尽管这种影响相当小。除此之外,我们还发现短话语最有可能对应单词。这两个发现共同表明,儿童可能不会将许多完整话语作为分割不足的组块存储起来,儿童存储的作为假设单词的大多数单位对应于单词。然而,与基于项目的语言习得观点相契合的是,当儿童确实存储分割不足的数据块时,这些可能是短序列,而不是频繁或内部可预测的多词组块。我们最后讨论了对公式化多词序列研究的启示。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/054d/6363945/b5a2cb75490e/fpsyg-10-00080-g0001.jpg

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