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Abstracts from the KAS corpus KAS-Abs 2.0
Žagar, Aleš; Kavaš, Matic; Robnik-Šikonja, Marko. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2022. : Faculty of Computer and Information Science, University of Ljubljana, 2022
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2
Corpus of 1968 Slovenian literature Maj68 2.0
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3
Corpus of academic Slovene KAS 2.0
Žagar, Aleš; Kavaš, Matic; Robnik-Šikonja, Marko. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2022. : Faculty of Computer and Information Science, University of Ljubljana, 2022
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4
Summarization datasets from the KAS corpus KAS-Sum 1.0
Žagar, Aleš; Kavaš, Matic; Robnik-Šikonja, Marko. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2022. : Faculty of Computer and Information Science, University of Ljubljana, 2022
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5
Machine Translation datasets from the KAS corpus KAS-MT 1.0
Žagar, Aleš; Kavaš, Matic; Robnik-Šikonja, Marko. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2022. : Faculty of Computer and Information Science, University of Ljubljana, 2022
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6
Collection of Slovenian paremiological units Pregovori 1.0
Babič, Saša; Miha, Peče; Erjavec, Tomaž. - : ZRC SAZU, 2022. : Jožef Stefan Institute, 2022
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7
The ParlaMint corpora of parliamentary proceedings
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8
The ParlaMint corpora of parliamentary proceedings
In: Lang Resour Eval (2022)
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9
Universal Dependencies 2.9
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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10
Universal Dependencies 2.8.1
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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11
Universal Dependencies 2.8
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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12
Spoken corpus Gos 1.1
Zwitter Vitez, Ana; Zemljarič Miklavčič, Jana; Krek, Simon; Stabej, Marko; Erjavec, Tomaž. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021
Abstract: Gos is a corpus of spoken Slovene that includes the transcripts of approximately 120 hours of speech recorded in various situations: radio and TV shows, school lessons and lectures, private conversations between friends or within the family, work meetings, consultations, conversations in buying and selling situations, etc. All speech is transcribed in two versions – with pronunciation-based spelling and with standardized spelling – and it comprises over one million words. The corpus can be searched by means of the web concordancer where it is also possible to listen to the corresponding recordings: http://www.korpus-gos.net. As opposed to the previous version, this one corrects some errors in the transcriptions and introduces various changes in the TEI and vertical encodings.
Keyword: speech transcription; spoken corpus; TEI
URL: http://hdl.handle.net/11356/1438
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13
Corpus of 1968 Slovenian literature Maj68 1.0
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14
Corpus of term-annotated texts RSDO5 1.1
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15
Offensive language dataset of Croatian, English and Slovenian comments FRENK 1.0
Ljubešić, Nikola; Fišer, Darja; Erjavec, Tomaž. - : Jožef Stefan Institute, 2021
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16
Montenegrin web corpus meWaC 1.0
Ljubešić, Nikola; Erjavec, Tomaž. - : Jožef Stefan Institute, 2021
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17
Comparable corpora of South-Slavic Wikipedias CLASSLA-Wikipedia 1.0
Ljubešić, Nikola; Markoski, Filip; Markoska, Elena. - : Jožef Stefan Institute, 2021
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18
Training corpus ssj500k 2.3
Krek, Simon; Dobrovoljc, Kaja; Erjavec, Tomaž. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021
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19
Spoken corpus Gos VideoLectures 4.2 (transcription)
Verdonik, Darinka; Potočnik, Tomaž; Sepesy Maučec, Mirjam. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2021
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20
Multilingual comparable corpora of parliamentary debates ParlaMint 2.1
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Open access documents
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