Distributional learning has immediate and long-lasting effects
Distributional learning has immediate and long-lasting effects
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DOI：
10.1016/j.cognition.2014.07.002
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发表时间：
2014-11-01
期刊：
影响因子：
3.4
通讯作者：
Williams, Daniel
中科院分区：
文献类型：
--
作者：
Escudero, Paola;Williams, Daniel
分布式学习是一种统计学习机制，以接触不同代币的相对频率为中心，主要来自短期学习，因此表面上没有涉及重要学习过程的发展。这项纵向研究在12个月的时间里考察了语音类别的分布学习对非母语声音辨别的短期和长期影响。两组受试者接受了两分钟的听觉刺激，其中最频繁出现的记号要么接近或夸大了语音的自然产生，而另一组受试者听了一段相同时间的古典音乐。在短时间暴露后，两个分发组的听众的辨别能力立即得到改善，重复了之前的结果。至关重要的是，这种改善在6个月和12个月后保持不变，表明分配学习具有长期影响。(C)2014爱思唯尔B.V.保留所有权利。
Evidence of distributional learning, a statistical learning mechanism centered on relative frequency of exposure to different tokens, has mainly come from short-term learning and therefore does not ostensibly address the development of important learning processes. The present longitudinal study examines both short- and long-term effects of distributional learning of phonetic categories on non-native sound discrimination over a 12-month period. Two groups of listeners were exposed to a two-minute distribution of auditory stimuli in which the most frequently presented tokens either approximated or exaggerated the natural production of the speech sounds, whereas a control group listened to a piece of classical music for the same length of time. Discrimination by listeners in the two distribution groups improved immediately after the short exposure, replicating previous results. Crucially, this improvement was maintained after six and 12 months, demonstrating that distributional learning has long-lasting effects. (C) 2014 Elsevier B.V. All rights reserved.