A new corpus of geolocated ASR transcripts from Germany.
This report describes the Corpus of German Speech (CoGS), a 56-million-word corpus of automatic speech recognition transcripts from YouTube channels of local government entities in Germany. Transcripts have been annotated with latitude and longitude coordinates, making the resource potentially usefu...
| Publicado en: | Language Resources & Evaluation Vol. 59; no. 1; pp. 571 - 590 |
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| Formato: | Artículo |
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Springer Nature
Mar2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=183750654&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 183750654 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Mar2025 vid: 59 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 183750654 10.1007/s10579-023-09686-9 ppf: 571 ppct: 19 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.4MB tig: atl: A new corpus of geolocated ASR transcripts from Germany. aug: au: Coats, Steven affil: https://ror.org/03yj89h83 English, Faculty of Humanities, University of Oulu, Oulu, Finland su: Automatic speech recognition German language Corpora Artificial intelligence Image processing Speech perception Germany sug: subj: Germany Automatic speech recognition German language Corpora Artificial intelligence Image processing Speech perception keyword: ASR transcripts corpus linguistics Dialectology German Information and Computing Sciences Artificial Intelligence and Image Processing ab: This report describes the Corpus of German Speech (CoGS), a 56-million-word corpus of automatic speech recognition transcripts from YouTube channels of local government entities in Germany. Transcripts have been annotated with latitude and longitude coordinates, making the resource potentially useful for geospatial analyses of lexical, morpho-syntactic, and pragmatic variation; this is exemplified with an exploratory geospatial analysis of grammatical variation in the encoding of past temporal reference. Additional corpus metadata include video identifiers and timestamps on individual word tokens, making it possible to search for specific discourse content or utterance sequences in the corpus and download the underlying video and audio from the web, using open-source tools. The discourse content of the transcripts in CoGS touches upon a wide range of topics, making the resource potentially interesting as a data source for research in digital humanities and social science. The report also briefly discusses the permissibility of reuse of data sourced from German municipalities for corpus-building purposes in the context of EU, German, and American law, which clearly authorize such a use case. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2025. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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