Improving data handling and analysis in the study of rhyme patterns

List, Johann-Mattis

doi:10.1163/19606028-bja10004

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Improving data handling and analysis in the study of rhyme patterns

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List, Johann-Mattis
CALC, Max Planck Institute for the Science of Human History, Max Planck Society;

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List, J.-M. (2020). Improving data handling and analysis in the study of rhyme patterns. Cahiers de linguistique Asie orientale, 49(1): bja10004, pp. 43-57. doi:10.1163/19606028-bja10004.

Cite as: https://hdl.handle.net/21.11116/0000-0006-889D-0

Abstract

By reviewing a recent quantitative study of rhyme patterns in Mandarin Chinese, this study shows how data handling and data analysis in the study of rhyme patterns can be improved. Suggestions for improvement include (a) a consistent annotation of rhyme data, which is exhaustive and facilitates data reuse, and (b) emphasizes the importance of automated approaches for exploratory data analysis, which can help to analyze rhyme data in an improved way, prior to applying statistical frameworks for hypothesis testing.