Structure and Substance in Artificial-phonology Learning, Part I: Structure

Structure and Substance in Artificial-phonology Learning, Part I: Structure
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人工语音学习中的结构和实质,第一部分:结构

DOI:
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发表时间:
2012
影响因子:
2.5
通讯作者:
Joseph V. Pater
Joseph V. Pater
中科院分区:
--
文献类型:
--
作者:
E. Moreton;Joseph V. Pater

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自然语言语音模式的人工模拟通常可以在实验室中通过少量的训练或接触来学习。特征定义模式的难度被假设为受两个主要因素的影响,其形式结构(定义特征的抽象逻辑结构)和语音实质(模式的具体语音解释)。本文是两部分系列的第一部分,回顾了结构效应的实验文献。主要的发现是一个强大的复杂性效应:依赖于更多特征的模式确实更难学习。
Artificial analogues of natural-language phonological patterns can often be learned in the lab from small amounts of training or exposure. The difficulty of a featurally-defined pattern has been hypothesized to be affected by two main factors, its formal structure (the abstract logical configuration of the defining features) and its phonetic substance (the concrete phonetic interpretation of the pattern). This paper, the first of a two-part series, reviews the experimental literature on structural effects. The principal finding is a robust complexity effect: Patterns which depend on more features are reliably harder to learn.
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