OLAC Record

Title:Spoken corpus Gos VideoLectures 3.0 (transcription)
Bibliographic Citation:http://hdl.handle.net/11356/1190
Creator:Verdonik, Darinka
Potočnik, Tomaž
Sepesy Maučec, Mirjam
Erjavec, Tomaž
Date (W3CDTF):2018-08-22T21:03:57Z
Date Available:2018-08-22T21:03:57Z
Description:Gos VideoLectures is an add-on to the Gos reference corpus of spoken Slovene (http://hdl.handle.net/11356/1040), and covers public academic speech. The Gos VideoLectures corpus contains a selection of public lectures available through the web portal Videolectures.net provided by the Jožef Stefan Institute, and covers 37 lectures and 16 hours of speech. This resource contains only annotated transcriptions of the corpus – audio recordings are available at http://hdl.handle.net/11356/1189. All transcriptions for Gos VideoLectures were done manually and carefully checked. The main guidelines for transcription were those of the Gos corpus (http://www.korpus-gos.net/Support/About). The transcription tool Transcriber 1.5.1 (http://trans.sourceforge.net/en/presentation.php) was used for making transcriptions. It can be also used for reading or exporting transcriptions (.trs files) to different formats. The transcriptions comprise the TRS files with tabular metadata, their conversion to TEI and to the CWB vertical file format. Each recording has two TRS files, one with pronunciation-based and the other with the standardised/normalised transcription. The TEI and CWB encodings join these two transcriptions at the token level, with the normalised words being also automatically PoS tagged and lemmatised. The corpus can be used for training continuous speech recognition for Slovene language, for phonetic research or any other research of Slovene academic speech.
Identifier (URI):http://hdl.handle.net/11356/1190
Is Replaced By (URI):http://hdl.handle.net/11356/1223
Language (ISO639):slv
Publisher:Faculty of Electrical Engineering and Computer Science, University of Maribor
Replaces (URI):http://hdl.handle.net/11356/1158
Rights:Creative Commons - Attribution 4.0 International (CC BY 4.0)
Subject:speech database
spoken corpus
academic speech
speech transcription
speech recognition
Type (DCMI):Text
Type (OLAC):primary_text


Archive:  Slovenian language resource repository CLARIN.SI
Description:  http://www.language-archives.org/archive/clarin.si
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OaiIdentifier:  oai:www.clarin.si:11356/1190
DateStamp:  2019-03-27
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Citation: Verdonik, Darinka; Potočnik, Tomaž; Sepesy Maučec, Mirjam; Erjavec, Tomaž. 2018. Faculty of Electrical Engineering and Computer Science, University of Maribor.
Terms: area_Europe country_SI dcmi_Text iso639_slv olac_primary_text

Up-to-date as of: Tue Aug 20 10:27:19 EDT 2019