ITR: Collaborative Research, Algorithms for Inferring Reticulate Evolution in Historical Linguistics

ITR：历史语言学中推断网状进化的协作研究和算法

• 批准号: 0312830
• 负责人: Tandy Warnow
• 金额: --
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-01 至 2009-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0312830&HistoricalAwards=false
• 关键词: ITR; Collaborative; Research; Algorithms; Inferring

With National Science Foundation support, Dr. Tandy Warnow and Dr. Donald Ringe will conduct three years of linguistic research aimed at recovering the evolutionary history of families of languages. Traditional models and methods assume that languages evolve in a bifurcating manner, in which case trees are appropriate graphical models of language evolution. Earlier work by the project leaders Warnow and Ringe (also funded by NSF) produced accurate computational methods for inferring evolution when the evolution of the languages is tree-like and led to advances in the understanding of how the Indo-European family evolved. However, a full resolution of the evolution of Indo-European (and of other language families) requires methods and models that can reconstruct evolutionary histories that are not treelike. The project combines research in computer science algorithms, statistical inference and modeling, and historical linguistics to produce effective means for reconstructing evolutionary histories of language families. It also draws on related work in molecular evolution. The project thus impacts several fields, and it will bring novel techniques and research methods to the field of historical linguistics. The open source software tools developed during this project will impact other fields as well, and in particular will help population geneticists and anthropologists resolve questions related to human origins and migrations. The project will include workshops in historical linguistics and will thus provide training in this multidisciplinary area to a broad group of researchers.

在国家科学基金会的支持下，Tandy Warnow博士和Donald Ringe博士将进行三年的语言研究，旨在恢复语言家庭的进化历史。传统模型和方法假设语言以分叉方式演变，在这种情况下，树是适当的语言演化图形模型。项目领导者的早期工作警告和林格（也由NSF资助）产生了准确的计算方法来推断语言的演变类似树状，并在理解印度欧洲家庭的发展方面取得了进步。但是，全面解决印度 - 欧洲（和其他语言家族）的进化需要的方法和模型可以重建不是Treelike的进化历史。该项目结合了计算机科学算法，统计推断和建模以及历史语言学的研究，以产生有效的手段来重建语言家族的进化历史。它还利用了分子进化中的相关工作。因此，该项目影响了几个领域，它将为历史语言学领域带来新颖的技术和研究方法。该项目期间开发的开源软件工具也会影响其他领域，特别是将帮助人口遗传学家和人类学家解决与人类起源和迁移有关的问题。该项目将包括历史语言学的研讨会，并因此将在这个多学科领域为广泛的研究人员提供培训。