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嘉绒语支语言历史比较的词汇数据。

Lexical data for the historical comparison of Rgyalrongic languages.

作者信息

Lai Yunfan, List Johann-Mattis

机构信息

Trinity Centre for Asian Studies, The University of Dublin Trinity College, Dublin, Leinster, D02 PN40, Ireland.

Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, 04103, Germany.

出版信息

Open Res Eur. 2023 Oct 18;3:99. doi: 10.12688/openreseurope.16017.2. eCollection 2023.

DOI:10.12688/openreseurope.16017.2
PMID:37645481
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10446046/
Abstract

As one of the most morphologically conservative branches of the Sino-Tibetan language family, most of the Rgyalrongic languages are still understudied and poorly understood, not to mention their vulnerable or endangered status. It is therefore important for available data of these languages to be made accessible. The lexical data sets the authors have assembled provide comparative word lists of 20 modern and medieval Rgyalrongic languages, consisting of word lists from fieldwork carried out by the first author and other colleagues as well as published word lists by other authors. In particular, data of the two Khroskyabs varieties were collected by the first author from 2011 to 2016. Cognate identification is based on the authors' expertise in Rgyalrong historical linguistics through application of the comparative method. We curated the data by conducting phonemic segmentation and partial cognate annotation. The data sets can be used by historical linguists interested in the etymology and the phylogeny of the languages in question, and they can use them to answer questions regarding individual word histories or the subgrouping of languages in this important branch of Sino-Tibetan.

摘要

作为汉藏语系中形态最为保守的分支之一,嘉绒语支的大多数语言仍未得到充分研究,人们对其了解甚少,更不用说它们脆弱或濒危的状况了。因此,让这些语言的现有数据能够被获取很重要。作者汇编的词汇数据集提供了20种现代和中世纪嘉绒语支语言的比较词表,包括第一作者和其他同事进行田野调查得到的词表以及其他作者已发表的词表。特别是,两种绰斯甲语变体的数据是第一作者在2011年至2016年期间收集的。同源词识别基于作者在嘉绒历史语言学方面的专业知识,通过应用比较法来进行。我们通过音素切分和部分同源词注释来整理这些数据。这些数据集可供对相关语言的词源和系统发育感兴趣的历史语言学家使用,他们可以用这些数据集来回答有关单个词的历史或汉藏语系这一重要分支中语言分组的问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb4/10585199/26ac501d6363/openreseurope-3-18034-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb4/10585199/d35066356f88/openreseurope-3-18034-g0000.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb4/10585199/bb384a51ad7d/openreseurope-3-18034-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb4/10585199/26ac501d6363/openreseurope-3-18034-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb4/10585199/d35066356f88/openreseurope-3-18034-g0000.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb4/10585199/bb384a51ad7d/openreseurope-3-18034-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb4/10585199/26ac501d6363/openreseurope-3-18034-g0002.jpg

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