Investigating rhoticity in Scottish Standard English with sociolinguistic interviews and corpus data: Auditory ratings

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Schützler, Ole, 2024, "Investigating rhoticity in Scottish Standard English with sociolinguistic interviews and corpus data: Auditory ratings", https://doi.org/10.18710/XKCCV1, DataverseNO, V1
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Description

The dataset is used in an article published in World Englishes. In the article, I test and discuss methodological and theoretical implications of combining classic sociolinguistic interview data with data from a spoken corpus. Thus, the data combined in this set stem from two sources, as explained in the ReadMe:

Audio-recorded sociolinguistic interviews were conducted in Edinburgh, Scotland by Ole Schützler in March 2008, yielding the material labeled as "TX", "narrative", "questions" and "WL" in the dataset.

The genre "btal" was taken from the Scottish component of the International Corpus of English (ICE-Scotland), published here: https://github.com/langres/ICE-Scotland.

The annotation (manually corrected forced alignment) of ICE-Scotland was funded by the German Research Foundation / Deutsche Forschungsgemeinschaft (DFG), as specified below, in a project with Ulrike Gut and Ole Schützler as principal investigators and Zeyu Li and Jenny Herzky as research assistants.

(2024-02-22)
Subject Arts and Humanities
Keyword Scottish English, rhoticity, auditory ratings, sociolinguistic interviews, corpus data, International Corpus of English
Related Publication Schützler, Ole. 2024. Investigating rhoticity in Scottish Standard English with sociolinguistic interviews and corpus data. World Englishes. https://doi.org/10.1111/weng.12689 doi: 10.1111/weng.12689
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00_ReadMe_codaR_AuditoryRatings.txt
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codaR.csv
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This Dataset, "Investigating rhoticity in Scottish English with sociolinguistic interviews and corpus data: Auditory ratings" (hereafter: Dataset), may be reused according to the CLARIN PUB+BY+LRT license as described below:

Copyright holder: Ole Schützler

Resource: Investigating rhoticity in Scottish English with sociolinguistic interviews and corpus data: Auditory ratings

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