语音网络和早期词汇获取中的系统性
1Department of Language and Linguistic Science, University of York.
概括
婴儿早期的词汇获取遵循"偏爱依附"模式,新词语在声学上与现有词语相似. 随着语言技能的发展,这种系统的方法变得更加明显.
科学领域:
- 发展心理学 发展心理学
- 语言学的语言学.
- 网络科学 网络科学
背景情况:
- 婴儿的早期语言往往表现出声学上的相似性,这表明有系统的生产策略.
- "优先附加"模型假设新词汇与词典中类似的现有词汇聚集在一起.
- 这与强调环境学习因素的"优先收购"模式形成鲜明对比.
研究的目的:
- 调查是否偏好的依恋或偏好的获取更好地模拟婴儿词语学习.
- 分析语音网络随时间增长轨迹的变化.
- 为了比较成年人目标形式和婴儿实际词语生产之间的网络增长模式.
主要方法:
- 对9名婴儿 (从2岁至6岁) 的自然语音转录数据的分析.
- 应用网络增长模型来评估收购模式.
- 模型适合优先附加与优先收购的比较.
主要成果:
- 在预测新词的获取方面,偏好的依附显著超过了偏好的获取.
- 发现新获得的单词在语音上与婴儿的词典中的现有单词相似.
- 语音系统性在词的生产增加了在收购期间.
结论:
- 婴儿的词汇获取主要是由偏好的附着机制驱动的,有利于语音相似性.
- 早期的单词产生表现出越来越多的系统性,超出了成年目标形式的存在.
- 这些发现突出了婴儿语音发育中的强大的内部系统性.
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