| dc.contributor.author | Verdonik, Darinka |
| dc.contributor.author | Potočnik, Tomaž |
| dc.contributor.author | Sepesy Maučec, Mirjam |
| dc.contributor.author | Erjavec, Tomaž |
| dc.contributor.author | Majhenič, Simona |
| dc.contributor.author | Žgank, Andrej |
| dc.date.accessioned | 2021-07-08T18:48:44Z |
| dc.date.available | 2021-07-08T18:48:44Z |
| dc.date.issued | 2021-06-21 |
| dc.identifier.uri | http://hdl.handle.net/11356/1439 |
| dc.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. It can be used for training continuous speech recognition for Slovene language, for phonetic research or any other research of Slovene academic speech. The corpus contains a selection of public lectures available through the web portal Videolectures.net provided by the Jožef Stefan Institute, and covers 55 lectures and 22 hours of speech. This resource contains only annotated transcriptions of the corpus, while the audio recordings are available at http://hdl.handle.net/11356/1222. The 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 vertical file format (as used e.g. by Sketch Engine). Each recording has two TRS files, one with pronunciation-based and the other with the standardised/normalised transcription. The TRS zip also contains files with automatically produced word and phone-level alignment with the speech signal, as well as the annotation guidelines (in Slovenian). The TEI and vertical encodings join the two transcriptions at the token level, with the normalised words also linguistically annotated. The annotiations comprise the word lemma, the MULTEXT-East MSDs and the Universal dependencies morphological features. As opposed to version 4.0, this version uses the CLASSLA tool (https://github.com/clarinsi/classla) for linguistic annotation and changes the TEI encoding of the normalised words. |
| dc.language.iso | slv |
| dc.publisher | Faculty of Electrical Engineering and Computer Science, University of Maribor |
| dc.relation.replaces | http://hdl.handle.net/11356/1223 |
| dc.relation.isreplacedby | http://hdl.handle.net/11356/1444 |
| dc.rights | Creative Commons - Attribution 4.0 International (CC BY 4.0) |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ |
| dc.rights.label | PUB |
| dc.source.uri | https://www.clarin.si/info/services/projects/#Gos_Videolectures_II |
| dc.subject | speech database |
| dc.subject | spoken corpus |
| dc.subject | academic speech |
| dc.subject | speech transcription |
| dc.subject | speech recognition |
| dc.subject | TEI |
| dc.title | Spoken corpus Gos VideoLectures 4.1 (transcription) |
| dc.type | corpus |
| metashare.ResourceInfo#ContentInfo.mediaType | text |
| hidden | hidden |
| has.files | yes |
| branding | CLARIN.SI data & tools |
| contact.person | Darinka Verdonik darinka.verdonik@um.si Faculty of Electrical Engineering and Computer Science, University of Maribor |
| sponsor | Republic of Slovenia, Ministry of Culture 3340-15-141005 Project Gos Videolectures nationalFunds |
| sponsor | Jožef Stefan Institute CLARIN CLARIN.SI nationalFunds |
| size.info | 55 texts |
| size.info | 1872 utterances |
| size.info | 11260 sentences |
| size.info | 170830 words |
| files.count | 3 |
| files.size | 21744859 |
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- Name
- GosVL.TRS.zip
- Size
- 13.94 MB
- Format
- application/zip
- Description
- Transcriptions in TRS format with tabular metadata and work/phone alignments with speech
- MD5
- 932ba0f5080f04633fd082379454d047
- GosVL.TRS
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- Name
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- Size
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- Format
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- Description
- Tagged and lemmatised transcriptions in TEI format
- MD5
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- GosVL-speakers.tsv5 kB
- GosVL31_plesn.xml418 kB
- GosVL15_celia.xml535 kB
- GosVL26_slova.xml867 kB
- GosVL16_stara.xml816 kB
- GosVL51_horva.xml436 kB
- GosVL02_kleme.xml320 kB
- GosVL41_custv.xml1 MB
- GosVL30_kramb.xml857 kB
- GosVL27_zagar.xml405 kB
- GosVL08_droge.xml472 kB
- GosVL01_pravo.xml1 MB
- schema
- tei_clarin.rng662 kB
- tei_clarin.sch504 B
- tei_clarin.dtd248 kB
- tei_clarin_doc.xml8 MB
- tei_clarin_doc.html8 MB
- tei_clarin.rnc316 kB
- tei_clarin_example.xml31 kB
- tei_clarin.xsd741 kB
- tei_clarin_schema.xml3 kB
- GosVL21_poraz.xml356 kB
- GosVL10_partn.xml1 MB
- GosVL05_zsrce.xml256 kB
- GosVL33_erjav.xml384 kB
- GosVL38_remsk.xml866 kB
- GosVL54_mrhar.xml312 kB
- GosVL36_bozan.xml487 kB
- GosVL40_dobra.xml343 kB
- GosVL49_izobr.xml405 kB
- GosVL39_skrek.xml280 kB
- GosVL12_cujec.xml1 MB
- GosVL52_bezge.xml285 kB
- GosVL37_zadel.xml2 MB
- GosVL23_jeklo.xml268 kB
- GosVL-speeches.tsv16 kB
- GosVL32_temen.xml1 MB
- GosVL14_karci.xml495 kB
- GosVL11_lhise.xml301 kB
- GosVL09_ocean.xml1 MB
- Name
- GosVL.vert.zip
- Size
- 1.92 MB
- Format
- application/zip
- Description
- Tagged and lemmatised transcriptions in vertical format and registry file
- MD5
- 142b27772efa96a720ea9b5f65073ac1
- GosVL.vert
- gos_vl41.vert17 MB
- GosVL-speeches.tsv16 kB
- gos_vl41.regi3 kB
- GosVL-speakers.tsv5 kB
- 00README.txt445 B