Corpus of German Speech
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Corpus of German Speech
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Identifier |
https://doi.org/10.7910/DVN/3Y1YVB
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Creator |
Coats, Steven
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Publisher |
Harvard Dataverse
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Description |
The Corpus of German Speech (CoGS) is a 51-million-word corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from local government channels in Germany, created for the study of lexical, grammatical, and discourse-pragmatic phenomena of spoken language, as well as for content and language analysis in digital humanities and social science fields. Annotation includes individual word timings and video IDs of transcripts, making it easy to instantly view the video(s) for any given search. The corpus was created from 39,495 ASR transcripts from 1,313 YouTube channels, corresponding to more than 7,223 hours of video. The size of the corpus is 50,514,575 tokens. The channels sampled in the corpus are associated with local government entities, mostly city governments. Related resources are the Corpus of North American Spoken English and the Corpus of British Isles Spoken English.
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Subject |
Arts and Humanities
Computer and Information Science Social Sciences Other corpus linguistics dialectology spoken language speech transcripts German Germany |
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Contributor |
Coats, Steven
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Relation |
Corpus of North American Spoken English; Corpus of British Isles Spoken English; Corpus of Australian and New Zealand Spoken English
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