在Concepticon和NoRaRe中进行语言比较的数据整理和扩展.
Annika Tjuka1, Robert Forkel1, Johann-Mattis List1,2
1Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Saxony, 04103, Germany.
Open research Europe
|August 30, 2023
概括
我们介绍了Concepticon和NoRaRe,这是用于标准化语言数据的用户友好的资源. 这些工具通过提供精心策划的词汇数据,促进跨语言研究,并使不同研究中的数据进行比较.
科学领域:
- 计算语言学计算语言学
- 词典写作 词典写作 词典写作
- 跨语言研究跨语言研究.
背景情况:
- 语言数据的标准化对于比较研究至关重要.
- 现有的资源缺乏跨语言的全面词性质数据.
- 不同的研究领域独立收集了类似的单词属性信息.
研究的目的:
- 为了介绍Concepticon (版本3.0) 和NoRaRe (版本1.0) 的主要版本.
- 为跨语言数据集展示标准化数据策划的实用性.
- 通过整合各种词汇数据,使比较语言研究成为可能.
主要方法:
- 开发Concepticon作为标准化概念的参考目录.
- 将 Concepticon 扩展为 Word 属性的规范,评级和关系数据库 (NoRaRe).
- 为这两个资源实施共享的数据策划工作流程.
- 创建一个新的网络应用程序,用于可访问的数据检索.
主要成果:
- 现在可以使用Concepticon版本3.0和NoRaRe版本1.0.
- 经过调整的数据策划工作流被证明是标准化跨语言数据集的有效方法.
- 来自不同领域的数据集的结合增强了语言比较研究.
- NoRaRe为多种语言提供词汇数据,并提供策划和重复使用的工具.
结论:
- Concepticon和NoRaRe显著推动了语言数据的标准化.
- 集成的词汇数据集促进了新的跨语言研究.
- 新的网络应用程序提高了语言数据资源的可访问性和可用性.
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