ORTOFON v3: corpus of informal spoken Czech with multi-tier transcription (transcriptions & audio)

PID

ORTOFON v3 is a corpus of authentic spoken Czech used in informal situations (private environment, spontaneity, unpreparedness etc.) that covers the area of the whole Czech Republic. The corpus is composed of 697 recordings from 2012–2020 and contains 2 445 793 orthographic words (i.e. a total of 2 976 742 tokens including punctuation); a total of 1 121 different speakers appear in the probes. ORTOFON v3 is partially balanced regarding the basic sociolinguistic speaker categories (gender, age group, level of education and region of childhood residence). The transcription is linked to the corresponding audio track. Unlike the ORAL-series corpora, the transcription was carried out on two main tiers, orthographic and phonetic, supplemented by an additional metalanguage tier. The (anonymized) transcriptions are provided in the XML Elan Annotation format, audio (with corresponding anonymization beeps) is in uncompressed 16-bit PCM WAV, mono, 16 kHz format. Another format option of the transcriptions is also available under less restrictive CC BY-NC-SA license at http://hdl.handle.net/11234/1-5687

Identifier
PID http://hdl.handle.net/11234/1-5686
Related Identifier http://hdl.handle.net/11234/1-2579
Related Identifier https://wiki.korpus.cz/doku.php/en:cnk:ortofon
Metadata Access http://lindat.mff.cuni.cz/repository/oai/request?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:lindat.mff.cuni.cz:11234/1-5686
Provenance
Creator Lukeš, David; Kopřivová, Marie; Laubeová, Zuzana; Poukarová, Petra; Horký, Václav; Jelínek, Tomáš; Křivan, Jan; Waclawičová, Martina; Benešová, Lucie; Škarpová, Marie
Publisher Charles University, Faculty of Arts, Institute of the Czech National Corpus
Publication Year 2024
Rights License Agreement for Czech National Corpus Data; ACA; https://lindat.mff.cuni.cz/repository/xmlui/page/license-cnc-data
OpenAccess true
Contact lindat-help(at)ufal.mff.cuni.cz
Representation
Language Czech
Resource Type corpus
Format text/plain; charset=utf-8; application/x-gzip; downloadable_files_count: 1
Discipline Linguistics