Reconstructing the evolutionary history of languages from non-lexical data
Reconstructing the evolutionary history of languages from non-lexical data
批准号:
2152822
负责人:
Rebecca Grollemund
金额:
$42.02万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-06-01 至 2025-05-31
中文摘要
5000年前,来自中西部非洲的人口开始迁移并扩散到中部,东部和南部非洲,这被认为是非洲历史上最具影响力的事件。该地区的起源是众所周知的语言极其异质,现代语言在那里显示出独特的特点。该项目通过汇编这些语言的词汇数据和语法特性的第一个数据库来关注这些显著特征。计算和系统发育的方法应用于这些新的语言数据将提供一个更好的理解的起源和语言分歧的原因。此外,这些不同类型的语言数据的收集和分析将提高我们对语言如何演变的理解,并将阐明语言的不同组成部分的不同演变速度。这些数据将通过计算和系统发育方法进行分析,这些方法将对非洲中西部扩张的第一步产生新的见解。将进行统计分析,以衡量语言不同组成部分的演变速度,从而了解其演变动态。该项目不仅有助于更好地了解非洲历史,还有助于历史语言学学科通过确定用于任何语系系统发育分析的最佳数据集(词汇或语法)来完善其方法。该奖项反映了NSF的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Five thousand years ago, populations from west-central Africa started to migrate and spread into central, eastern and southern Africa in what is considered to be the most influential event in African history. The area of origin is known to be linguistically extremely heterogenous, and the modern languages spoken there display unique features. This project focuses on these salient features by compiling the first database of lexical data and grammatical properties of these languages. Computational and phylogenetic methods applied to these new linguistic data will provide a better understanding of the origin and the causes of linguistic divergence. Additionally, the collection and analysis of these different types of linguistic data will sharpen our understanding of how language evolves and will elucidate the different evolution rates of different components of language.This project focuses on the study of underdocumented and underdescribed languages. The data will be analyzed with computational and phylogenetic methods that will generate novel insights into the first steps of the expansion from west-central Africa. Statistical analyses will be conducted in order to measure rates of evolution for the different components of the languages in order to understand their evolutionary dynamics. The project will not only contribute a better understanding of African history but also help the discipline of historical linguistics refine its methods by identifying the optimal datasets (lexical or grammatical) to use for phylogenetic analyses of any language family.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1080/07350015.2022.2143784
发表时间:
2021-10
期刊:
Journal of Business & Economic Statistics
影响因子:
3
作者:
[Yi Ren;Xuening Zhu;Xiaoling Lu;Guanyu Hu]
通讯作者:
Yi Ren;Xuening Zhu;Xiaoling Lu;Guanyu Hu
国内基金
海外基金
经济复杂系统的非稳态时间序列分析及非线性演化动力学理论
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批准号:70471078
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项目类别:面上项目
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资助金额:15.0万元
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批准年份:2004
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负责人:陈平
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依托单位: