Collaborative Research: Multi-Tree: A Digital Library of Language Relationships

合作研究：多树：语言关系数字图书馆

• 批准号: 0731530
• 负责人: Anthony Aristar
• 金额: $ 19.33万
• 依托单位: Eastern Michigan University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-31 至 2009-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0731530&HistoricalAwards=false
• 关键词: Collaborative; Research; Multi; Tree; Digital

Genetic relationships among languages can provide considerable insight into the culture, migrations, and contacts of human populations. However, it has so far been difficult to find and compare hypotheses about genetic relationships, since they exist only in scholarly books and papers, and can only be accessed individually. The Multi-tree project will develop a digital library of scholarly hypotheses about language relationships, one which is fully documented and transparently traceable to the scholarly work upon which it is based. Hypotheses about groups of related languages will be displayed graphically as familiar diagrams of family trees, with each node opening to display additional information on the language or subgrouping represented. Moreover, competing hypotheses about the same language family will be displayed as two or more trees aligned side by side for easy comparison. The Multi-Tree database will also be integrated with the existing LINGUIST List databases, which house a wealth of information about language and linguistics collected over a 15-year period of building electronic infrastructure for the discipline. The Multi-Tree project thus has considerable potential to contribute to research and education both within the field of linguistics and in related scientific disciplines. The project will provide accessible data and an overview of language classification which can trigger new hypotheses. It will make relationships between lesser-known languages better known, stimulating research on minority languages. Finally, the online search facility will constitute a captivating instructional tool, for use in K-12 through graduate education.

语言之间的遗传关系可以为人们提供对文化、迁徙和接触的深入了解。 然而，迄今为止，很难找到和比较有关遗传关系的假设，因为它们仅存在于学术书籍和论文中，并且只能单独访问。多树项目将开发一个有关语言关系的学术假设的数字图书馆，该图书馆有完整的记录，并且可以透明地追溯到其所基于的学术著作。关于相关语言组的假设将以图形方式显示为熟悉的家谱图，每个节点打开以显示有关所表示的语言或子组的附加信息。此外，关于同一语系的竞争假设将显示为并排排列的两棵或多棵树，以便于比较。 Multi-Tree 数据库还将与现有的语言学家列表数据库集成，该数据库包含在 15 年为该学科构建电子基础设施期间收集的有关语言和语言学的大量信息。 因此，多树项目在语言学领域和相关科学学科的研究和教育方面具有巨大的潜力。该项目将提供可访问的数据和语言分类的概述，这可以引发新的假设。它将让鲜为人知的语言之间的关系更加为人所知，从而刺激对少数民族语言的研究。最后，在线搜索工具将构成一个引人入胜的教学工具，供 K-12 直至研究生教育使用。