一种采样技术,用于全球比较语言接触场景
Francesca Di Garbo1,2, Ricardo Napoleão de Souza3,2
1University of Aix-Marseille, CNRS Laboratory Parole et Langage, Marseille, France.
Linguistic typology
|November 28, 2023
概括
本研究引入了一种新的语言类型学采样方法,用于直接比较语言接触场景. 它使用三种语言集来分析语言结构的扩散和跨语言的变化.
科学领域:
- 语言类型学语言类型学
- 计算语言学 计算语言学
- 社会语言学 社会语言学
背景情况:
- 语言类型学的现有方法旨在控制区域偏差,以防止语言结构中的接触效应.
- 目前的方法缺乏从类型学的角度直接比较语言接触场景的能力.
研究的目的:
- 引入一种新的抽样程序,用于在全球范围内比较语言接触场景.
- 为了使语言接触情况的直接类型比较.
主要方法:
- 一个采样单元,包括三种语言:焦点语言,邻居语言和基准语言.
- 焦点语言:检查接触效应.
- 邻国语言:与焦点无关,是潜在的影响力来源.
- 基准语言:与焦点相关但不接触,用于区分接触效应与基因遗传.
- 采用49个三种语言套件 (共147种语言) 的样本编制.
主要成果:
- 一个包含147种语言的数据集,组织成49个不同的三种语言数据集,用于比较分析.
- 提出的方法将重点从单个语言转移到跨语言接触关系.
结论:
- 新的抽样方法有助于对语言接触场景进行直接的类型比较.
- 这种方法有可能揭示语言结构及其变化的扩散模式.
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