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Grammatical error annotation and classification tool for Slovene SloERRANT 1.0
Author(s):
Štebljaj, Živa
Description:
SloERRANT is a Slovene adaptation of ERRANT (ERRor ANnotation Toolkit, accessible at https://github.com/chrisjbryant/errant), designed for automatic extraction and classification of grammatical errors in Slovene text. It ...
 This item contains 1 file (727.58 KB).
 
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 corpus 
CLARIN.SI data & tools
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Sample from the audiobook "Čarobna beseda" (The magic word)
Author(s):
Bauer, Jana
Description:
This entry contains the first part of the audiobook "Čarobna beseda" (The magic word) by author Jana Bauer and narrated by Vesna Pernarčič (COBISS.SI-ID 304801027, ISBN 978-961-7279-66-5). What happens when magical ...
 This item contains 7 files (106.02 MB).
 
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 corpus 
CLARIN.SI data & tools
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Sample from the audiobook "Primeri Muca Detektiva" (The cases of Detective Cat)
Author(s):
Horvat, Nada
Description:
This entry contains the first part of the audiobook "Primeri Muca Detektiva" (The cases of Detective Cat) by author Nada Horvat and narrated by Ana Ličina (COBISS.SI-ID 304804611, ISBN 978-961-7279-67-2). There’s never ...
 This item contains 1 file (16.5 MB).
 
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Multilingual comparable corpora of parliamentary debates ParlaMint 5.0
Author(s):
Erjavec, Tomaž ; et al.show everyone Erjavec, Tomaž ; Kopp, Matyáš ; Kuzman Pungeršek, Taja ; Ljubešić, Nikola ; Ogrodniczuk, Maciej ; Osenova, Petya ; Agirrezabal, Manex ; Agnoloni, Tommaso ; Aires, José ; Albini, Monica ; Alkorta, Jon ; Antiba-Cartazo, Iván ; Arrieta, Ekain ; Barcala, Mario ; Bardanca, Daniel ; Barkarson, Starkaður ; Bartolini, Roberto ; Battistoni, Roberto ; Bel, Nuria ; Bonet Ramos, Maria del Mar ; Calzada Pérez, María ; Cardoso, Aida ; Çöltekin, Çağrı ; Coole, Matthew ; Darģis, Roberts ; de Libano, Ruben ; Depoorter, Griet ; Diwersy, Sascha ; Dodé, Réka ; Fernandez, Kike ; Fernández Rei, Elisa ; Frontini, Francesca ; Garcia, Marcos ; García Díaz, Noelia ; García Louzao, Pedro ; Gavriilidou, Maria ; Gkoumas, Dimitris ; Grigorov, Ilko ; Grigorova, Vladislava ; Haltrup Hansen, Dorte ; Iruskieta, Mikel ; Jarlbrink, Johan ; Jelencsik-Mátyus, Kinga ; Jongejan, Bart ; Kahusk, Neeme ; Kirnbauer, Martin ; Kryvenko, Anna ; Ligeti-Nagy, Noémi ; Luxardo, Giancarlo ; Magariños, Carmen ; Magnusson, Måns ; Marchetti, Carlo ; Marx, Maarten ; Meden, Katja ; Mendes, Amália ; Mochtak, Michal ; Mölder, Martin ; Montemagni, Simonetta ; Navarretta, Costanza ; Nitoń, Bartłomiej ; Norén, Fredrik Mohammadi ; Nwadukwe, Amanda ; Ojsteršek, Mihael ; Pančur, Andrej ; Papavassiliou, Vassilis ; Pereira, Rui ; Pérez Lago, María ; Piperidis, Stelios ; Pirker, Hannes ; Pisani, Marilina ; Pol, Henk van der ; Prokopidis, Prokopis ; Quochi, Valeria ; Rayson, Paul ; Regueira, Xosé Luís ; Rii, Andriana ; Rudolf, Michał ; Ruisi, Manuela ; Rupnik, Peter ; Schopper, Daniel ; Simov, Kiril ; Sinikallio, Laura ; Skubic, Jure ; Tungland, Lars Magne ; Tuominen, Jouni ; van Heusden, Ruben ; Varga, Zsófia ; Vázquez Abuín, Marta ; Venturi, Giulia ; Vidal Miguéns, Adrián ; Vider, Kadri ; Vivel Couso, Ainhoa ; Vladu, Adina Ioana ; Wissik, Tanja ; Yrjänäinen, Väinö ; Zevallos, Rodolfo ; Fišer, Darja
Description:
ParlaMint 5.0 is a set of comparable corpora containing transcriptions of parliamentary debates of 29 European countries and autonomous regions, mostly starting in 2015 and extending to mid-2022. The individual corpora ...
 This item contains 31 files (5.94 GB).
 
Publicly Available Distributed under Creative Commons Attribution Required
 corpus 
CLARIN.SI data & tools
corpus
Multilingual comparable corpora of parliamentary debates ParlaMint 4.1
Author(s):
Erjavec, Tomaž ; et al.show everyone Erjavec, Tomaž ; Kopp, Matyáš ; Ogrodniczuk, Maciej ; Osenova, Petya ; Agirrezabal, Manex ; Agnoloni, Tommaso ; Aires, José ; Albini, Monica ; Alkorta, Jon ; Antiba-Cartazo, Iván ; Arrieta, Ekain ; Barcala, Mario ; Bardanca, Daniel ; Barkarson, Starkaður ; Bartolini, Roberto ; Battistoni, Roberto ; Bel, Nuria ; Bonet Ramos, Maria del Mar ; Calzada Pérez, María ; Cardoso, Aida ; Çöltekin, Çağrı ; Coole, Matthew ; Darģis, Roberts ; de Libano, Ruben ; Depoorter, Griet ; Diwersy, Sascha ; Dodé, Réka ; Fernandez, Kike ; Fernández Rei, Elisa ; Frontini, Francesca ; Garcia, Marcos ; García Díaz, Noelia ; García Louzao, Pedro ; Gavriilidou, Maria ; Gkoumas, Dimitris ; Grigorov, Ilko ; Grigorova, Vladislava ; Haltrup Hansen, Dorte ; Iruskieta, Mikel ; Jarlbrink, Johan ; Jelencsik-Mátyus, Kinga ; Jongejan, Bart ; Kahusk, Neeme ; Kirnbauer, Martin ; Kryvenko, Anna ; Ligeti-Nagy, Noémi ; Ljubešić, Nikola ; Luxardo, Giancarlo ; Magariños, Carmen ; Magnusson, Måns ; Marchetti, Carlo ; Marx, Maarten ; Meden, Katja ; Mendes, Amália ; Mochtak, Michal ; Mölder, Martin ; Montemagni, Simonetta ; Navarretta, Costanza ; Nitoń, Bartłomiej ; Norén, Fredrik Mohammadi ; Nwadukwe, Amanda ; Ojsteršek, Mihael ; Pančur, Andrej ; Papavassiliou, Vassilis ; Pereira, Rui ; Pérez Lago, María ; Piperidis, Stelios ; Pirker, Hannes ; Pisani, Marilina ; Pol, Henk van der ; Prokopidis, Prokopis ; Quochi, Valeria ; Rayson, Paul ; Regueira, Xosé Luís ; Rii, Andriana ; Rudolf, Michał ; Ruisi, Manuela ; Rupnik, Peter ; Schopper, Daniel ; Simov, Kiril ; Sinikallio, Laura ; Skubic, Jure ; Tungland, Lars Magne ; Tuominen, Jouni ; van Heusden, Ruben ; Varga, Zsófia ; Vázquez Abuín, Marta ; Venturi, Giulia ; Vidal Miguéns, Adrián ; Vider, Kadri ; Vivel Couso, Ainhoa ; Vladu, Adina Ioana ; Wissik, Tanja ; Yrjänäinen, Väinö ; Zevallos, Rodolfo ; Fišer, Darja
Description:
ParlaMint 4.1 is a set of comparable corpora containing transcriptions of parliamentary debates of 29 European countries and autonomous regions, mostly starting in 2015 and extending to mid-2022. The individual corpora ...
 This item contains 30 files (5.87 GB).
 
Publicly Available Distributed under Creative Commons Attribution Required
 lexicalConceptualResource 
CLARIN.SI data & tools
lexicalConceptualResource
Emoji Sentiment Ranking 1.0
Author(s):
Kralj Novak, Petra ; Smailović, Jasmina ; Sluban, Borut and Mozetič, Igor
Description:
A lexicon of 751 emoji characters with automatically assigned sentiment. The sentiment is computed from 70,000 tweets, labeled by 83 human annotators in 13 European languages. The process and analysis of emoji sentiment ...
 This item contains 3 files (93.95 KB).
 
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