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Improving data handling and analysis in the study of rhyme patterns
- Author(s):
- Johann-Mattis List (see profile)
- Date:
- 2020
- Group(s):
- Digital Humanists, Digital Humanities East Asia, Linguistics, NLP for Ancient languages
- Subject(s):
- Historical linguistics
- Item Type:
- Article
- Tag(s):
- Chinese linguistics, rhyme analysis, data handling, 1 John
- Permanent URL:
- http://dx.doi.org/10.17613/v88m-2608
- 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.
- Metadata:
- xml
- Published as:
- Journal article
- Status:
- Published
- Last Updated:
- 4 years ago
- License:
- All Rights Reserved
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