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Reconstructing the evolutionary history of languages from non-lexical data

Reconstructing the evolutionary history of languages from non-lexical data
从非词汇数据重建语言的进化史
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

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中文摘要
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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)
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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
  • 批准号:
    70471078
  • 项目类别:
    面上项目
  • 资助金额:
    15.0万元
  • 批准年份:
    2004
  • 负责人:
    陈平
  • 依托单位: