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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
BASE
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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
BASE
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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
BASE
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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)
BASE
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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. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021
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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
Abstract: The RSDO5 corpus was compiled in order to serve as a training set for automatic term identification. It consists of 12 texts with 250,000 words and almost 38,000 manually annotated terms, each marked to be either in- or out-domain. The corpus texts were published between 2000 and 2019, are either PhD theses (3), a scientific book based on a PhD thesis (1), graduate level text books (4), or journal articles (4) and belong to the fields of biomechanics (3), linguistics (3), chemistry (3), or veterinary science (3). Apart from the manually annotated terms, the corpus was automatically annotated with Universal Dependencies annotations, i.e. tokenisation, sentence segmentation, lemmatisation, morpological features and dependency syntax. As opposed to the previous version, this one adds in- and out-domain marking on terms in the TEI and vertical files.
Keyword: manual annotation; TEI; terminology
URL: http://hdl.handle.net/11356/1470
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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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