Appendix to 'The glottometrics of Arabic: Quantifying linguistic diversity and correlating it with diachronic change'
datasetposted on 06.02.2020, 14:28 by Robert Ratcliffe
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
These are the supplementary materials for an article published in Language Dynamics in Change entitled 'The glottometrics of Arabic: Quantifying linguistic diversity and correlating it with diachronic change', by Robert R. Ratcliffe, with DOI:10.1163/22105832-01001100. The paper presents a methodology for quantifying diversity within a group of related languages and correlating the patterns found with known historical developments, as a way of testing a variety of hypotheses, regarding subclassification, reconstruction, the influence of language contact, the relative consistency of the speed of language change, etc. The methodology is applied to Arabic dialects, for which there is a wealth of synchronic variation as well as considerable historical documentation on both linguistic and migration history. The goal is to establish a more solid empirical basis for inferring diachronic conclusions based on comparative analysis of synchronic data.These appendices consist of the raw data used in this study.