建模构造主义者通过语法-语义模式的发现来获取语言
Jonas Doumen1,2, Katrien Beuls3, Paul Van Eecke1,2,4
1Department of Linguistics, Faculty of Arts, KU Leuven, Leuven, Belgium.
Royal Society open science
|July 25, 2024
概括
这项研究介绍了儿童如何学习语言的计算模型,重点是寻找语言形式和意义中的模式. 它使人工智能能够有效,透明和数据高效地学习构建语法.
科学领域:
- 心理语言学 心理语言学
- 认知科学 认知科学
- 人工智能的人工智能
背景情况:
- 儿童语言获取得到了充分的研究,但缺乏计算模型.
- 现有的人工智能通信模型不能忠实地复制类似人类的学习机制.
研究的目的:
- 引入一种机械计算模型,用于构造主义的语言学习.
- 通过语法-语义模式的发现,使语言学习成为可操作的.
主要方法:
- 从基于形式含义相似性和差异的语言观察中开发了一种学习语法方法.
- 创建了由可变范围,抽象形式-意义映射组成的语法,称为构造.
- 将方法应用于CLEVR基准数据集,以证明概念.
主要成果:
- 展示了在线,增量和数据效率学习的建筑语法.
- 从发言意义对展示了透明和有效的学习.
- 验证了模型学习以项目为基础的构造语法的能力.
结论:
- 拟议的模型提供了儿童语言学习的忠实计算操作.
- 这种方法促进了人工智能的语言理解和生产.
- 该方法在以数据高效的方式学习构造语法方面被证明是有效的.
相关概念视频
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