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Spoken corpus Gos VideoLectures 4.2 (transcription)
Author(s):
Verdonik, Darinka ; et al.show everyone Verdonik, Darinka ; Potočnik, Tomaž ; Sepesy Maučec, Mirjam ; Erjavec, Tomaž ; Majhenič, Simona ; Žgank, Andrej
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 ...
 This item contains 3 files (21.65 MB).
 
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Spoken corpus Gos 1.1
Author(s):
Zwitter Vitez, Ana ; Zemljarič Miklavčič, Jana ; Krek, Simon ; Stabej, Marko and Erjavec, Tomaž
Description:
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 ...
 This item contains 2 files (22.1 MB).
 
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Slovenian Twitter dataset 2018-2020 1.0
Author(s):
Evkoski, Bojan ; Pelicon, Andraž ; Mozetič, Igor ; Ljubešić, Nikola and Kralj Novak, Petra
Description:
The dataset represents the Twitter production in Slovenian in the period from 2018 until 2020. It consists of tweet IDs, retweet IDs, pseudo-anonymized user IDs, publication dates, and automatically assigned hate labels ...
 This item contains 1 file (182.04 MB).
 
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Linguistically annotated multilingual comparable corpora of parliamentary debates ParlaMint.ana 2.1
Author(s):
Erjavec, Tomaž ; et al.show everyone Erjavec, Tomaž ; Ogrodniczuk, Maciej ; Osenova, Petya ; Ljubešić, Nikola ; Simov, Kiril ; Grigorova, Vladislava ; Rudolf, Michał ; Pančur, Andrej ; Kopp, Matyáš ; Barkarson, Starkaður ; Steingrímsson, Steinþór ; van der Pol, Henk ; Depoorter, Griet ; de Does, Jesse ; Jongejan, Bart ; Haltrup Hansen, Dorte ; Navarretta, Costanza ; Calzada Pérez, María ; de Macedo, Luciana D. ; van Heusden, Ruben ; Marx, Maarten ; Çöltekin, Çağrı ; Coole, Matthew ; Agnoloni, Tommaso ; Frontini, Francesca ; Montemagni, Simonetta ; Quochi, Valeria ; Venturi, Giulia ; Ruisi, Manuela ; Marchetti, Carlo ; Battistoni, Roberto ; Sebők, Miklós ; Ring, Orsolya ; Darģis, Roberts ; Utka, Andrius ; Petkevičius, Mindaugas ; Briedienė, Monika ; Krilavičius, Tomas ; Morkevičius, Vaidas ; Bartolini, Roberto ; Cimino, Andrea ; Diwersy, Sascha ; Luxardo, Giancarlo ; Rayson, Paul
Description:
ParlaMint 2.1 is a multilingual set of 17 comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the ...
 This item contains 18 files (23.37 GB).
 
Publicly Available Distributed under Creative Commons Attribution Required
 corpus 
CLARIN.SI data & tools
corpus
Multilingual comparable corpora of parliamentary debates ParlaMint 2.1
Author(s):
Erjavec, Tomaž ; et al.show everyone Erjavec, Tomaž ; Ogrodniczuk, Maciej ; Osenova, Petya ; Ljubešić, Nikola ; Simov, Kiril ; Grigorova, Vladislava ; Rudolf, Michał ; Pančur, Andrej ; Kopp, Matyáš ; Barkarson, Starkaður ; Steingrímsson, Steinþór ; van der Pol, Henk ; Depoorter, Griet ; de Does, Jesse ; Jongejan, Bart ; Haltrup Hansen, Dorte ; Navarretta, Costanza ; Calzada Pérez, María ; de Macedo, Luciana D. ; van Heusden, Ruben ; Marx, Maarten ; Çöltekin, Çağrı ; Coole, Matthew ; Agnoloni, Tommaso ; Frontini, Francesca ; Montemagni, Simonetta ; Quochi, Valeria ; Venturi, Giulia ; Ruisi, Manuela ; Marchetti, Carlo ; Battistoni, Roberto ; Sebők, Miklós ; Ring, Orsolya ; Darģis, Roberts ; Utka, Andrius ; Petkevičius, Mindaugas ; Briedienė, Monika ; Krilavičius, Tomas ; Morkevičius, Vaidas ; Diwersy, Sascha ; Luxardo, Giancarlo ; Rayson, Paul
Description:
ParlaMint 2.1 is a multilingual set of 17 comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the ...
 This item contains 18 files (2.17 GB).
 
Publicly Available Distributed under Creative Commons Attribution Required
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Twitter sentiment for 15 European languages
Author(s):
Mozetič, Igor ; Grčar, Miha and Smailović, Jasmina
Description:
The dataset contains over 1.6 million tweets (tweet IDs), labeled with sentiment by human annotators. There are 15 Twitter corpora for the corresponding 15 European languages. The data can be used to train and evaluate ...
 This item contains 16 files (49.38 MB).
 
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under the Programme of "Research Infrastructures".