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: 0446482
• 负责人: Anthony Aristar
• 金额: $ 25万
• 依托单位: Wayne State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-10-01 至 2007-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0446482&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提供相当多的洞察力，文化，迁移和人口接触。 然而，到目前为止，很难找到和比较关于遗传关系的假设，因为它们只存在于学术书籍和论文中，并且只能单独访问。Multi-tree项目将开发一个关于语言关系的学术假设的数字图书馆，该图书馆有完整的文档记录，并且可以透明地追溯到它所基于的学术工作。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所表示的语言或子组的其他信息。此外，关于同一语系的竞争假设将显示为两个或更多个并排排列的树，以便于比较。 多树数据库还将与现有的语言列表数据库相结合，这些数据库包含了在为该学科建立电子基础设施的15年期间收集的有关语言和语言学的丰富信息。 因此，多树项目具有相当大的潜力，有助于语言学领域和相关科学学科的研究和教育。该项目将提供可获取的数据和语言分类概述，从而引发新的假设。它将使人们更好地了解鲜为人知的语言之间的关系，促进对少数民族语言的研究。最后，在线搜索设施将构成一个迷人的教学工具，在K-12通过研究生教育使用。