使用计算建模来验证英语学习儿童中生产性决定词-名词组合的出现
Raquel G Alhama1, Ruthe Foushee2,3, Dan Byrne3
1Institute for Logic, Language and Computation, University of Amsterdam, Amsterdam 1098 XG, The Netherlands.
概括
儿童通过创造性地结合单词来实现语言生产力,类似于计算模型. 这项研究跟踪了年轻英语学习者的决定词和名词组合,以确定新语言使用的开始时间.
科学领域:
- 发展心理学 发展心理学
- 计算语言学 计算语言学
- 语言获取 语言获取
背景情况:
- 语言是一个富有生产力的系统,使得它能够产生新的发言.
- 由于未知的输入暴露,评估儿童语言生产力的开始是具有挑战性的.
- 一个关键的问题是,孩子们是否从小就使用抽象的语言类别.
研究的目的:
- 为了确定学习英语的儿童何时开始表现出语言生产力.
- 研究抽象类别在早期语言学习中的作用.
- 将儿童语言发展与计算模型进行比较.
主要方法:
- 64名英语学习儿童的纵向行为观察.
- 分析儿童发言和护理人员输入中的决定词-名词组合.
- 计算建模模拟语言学习并识别新的组合.
主要成果:
- 孩子们开始富有成效地结合确定符和名词,产生了他们的输入中不存在的新奇序列.
- 在相同的输入上训练的计算模型显示了新组合发病和轨迹的类似模式.
- 儿童与模型发展之间的相似性表明,儿童可以创造性地扩展他们的语言知识.
结论:
- 儿童通过产生超出他们直接输入的新词组合来表现语言生产力.
- 计算建模为评估语言生产力的开始提供了一个强大的方法.
- 研究结果支持这样一个观点,即儿童在早期语言学习过程中部署抽象的语言类别.
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