Dataset for \"Quantifying the quantitative (re-)turn in historical linguistics\"

This dataset contains the data analysed in the article \"Quantifying the quantitative (re-)turn in historical linguistics\" authored by Barbara McGillivray and Gard Jenset and published in the journal \"Humanities and Social Sciences Communications\" in 2023. The dataset contains our analysis of 63 articles published in 2018 in six historical linguistics journals (Diachronica, Folia Linguistica Historica, Journal of Historical Linguistics, Language Dynamics and change, Language variation and change, and Transactions of the Philological Society). We recorded the following information: the type evidence base used in the paper (digital corpora, word lists, examples, etc.) and the statistical techniques used for the analysis, if any (t-tests, regression models, principal component analysis, etc.). We then classified the articles across two dimensions: corpus-based vs. non corpus-based and quantitative vs. non quantitative.

本数据集包含Barbara McGillivray与Gard Jenset合著、2023年发表于《人文与社会科学通讯》（Humanities and Social Sciences Communications）期刊的论文《历史语言学中量化（复归）转向的量化研究》（Quantifying the quantitative (re-)turn in historical linguistics）中的分析数据，涵盖了我们对2018年发表于6种历史语言学期刊的63篇学术论文的分析内容。这6种期刊分别为：《历时语言学》（Diachronica）、《历史语言学文集》（Folia Linguistica Historica）、《历史语言学期刊》（Journal of Historical Linguistics）、《语言动态与变化》（Language Dynamics and Change）、《语言变异与变化》（Language variation and change）以及《语文学学会汇刊》（Transactions of the Philological Society）。我们记录了如下信息：论文所采用的证据基础类型（如数字语料库、词表、例证等），以及分析所采用的统计技术（若有，如t检验、回归模型、主成分分析等）。随后我们从两个维度对这些论文进行分类：基于语料库（corpus-based）与非基于语料库，以及量化与非量化。