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Phonetic learning as a pathway to language: new data and native language magnet theory expanded (NLM-e)

机译:语音学习作为通往语言的途径:新数据和母语吸引力理论得到了扩展(NLM-e)

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摘要

Infants' speech perception skills show a dual change towards the end of the first year of life. Not only does non-native speech perception decline, as often shown, but native language speech perception skills show improvement, reflecting a facilitative effect of experience with native language. The mechanism underlying change at this point in development, and the relationship between the change in native and non-native speech perception, is of theoretical interest. As shown in new data presented here, at the cusp of this developmental change, infants' native and non-native phonetic perception skills predict later language ability, but in opposite directions. Better native language skill at 7.5 months of age predicts faster language advancement, whereas better non-native language skill predicts slower advancement. We suggest that native language phonetic performance is indicative of neural commitment to the native language, while non-native phonetic performance reveals uncommitted neural circuitry. This paper has three goals: (i) to review existing models of phonetic perception development, (ii) to present new event-related potential data showing that native and non-native phonetic perception at 7.5 months of age predicts language growth over the next 2 years, and (iii) to describe a revised version of our previous model, the native language magnet model, expanded (NLM-e). NLM-e incorporates five new principles. Specific testable predictions for future research programmes are described.
机译:婴儿的语音感知能力在生命的第一年末显示出双重变化。如通常所示,不仅非母语语音感知能力下降,而且母语语音感知能力也有所提高,反映了母语体验的促进作用。在发展的这一点上改变的潜在机制以及本地和非本地语音感知的变化之间的关系具有理论意义。如此处提供的新数据所示,在这种发展变化的关键时刻,婴儿的母语和非母语语音感知技能可以预测后来的语言能力,但方向相反。 7.5个月大的母语人士会预言较快的语言发展,而非母语语言人士则预言会较慢的语言发展。我们建议,母语的语音性能表示对母语的神经承诺,而非母语的语音性能则揭示了未提交的神经回路。本文具有三个目标:(i)回顾现有的语音感知发展模型,(ii)提供新的与事件相关的潜在数据,表明在7.5个月大时的本地和非本地语音感知可以预测未来2年内的语言增长年,以及(iii)描述我们先前模型的修订版本,即本地磁铁模型,已扩展(NLM-e)。 NLM-e合并了五个新原则。描述了未来研究计划的具体可测试预测。

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