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SYN v9: large corpus of written Czech
Křen, Michal; Cvrček, Václav; Henyš, Jan. - : Charles University, Faculty of Arts, Institute of the Czech National Corpus, 2022
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2
Universal Dependencies 2.9
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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3
Universal Dependencies 2.8.1
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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4
Universal Dependencies 2.8
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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5
Universal Dependencies 2.7
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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6
Universal Dependencies 2.6
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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7
Universal Dependencies 2.5
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019
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8
AKCES-GEC Grammatical Error Correction Dataset for Czech
Šebesta, Karel; Bedřichová, Zuzanna; Šormová, Kateřina. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2019
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9
Universal Dependencies 2.4
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019
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10
Universal Dependencies 2.2
In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
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11
Universal Dependencies 2.3
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018
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12
Universal Dependencies 2.2
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018
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13
Universal Dependencies 2.1
In: https://hal.inria.fr/hal-01682188 ; 2017 (2017)
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14
CzeSL Grammatical Error Correction Dataset (CzeSL-GEC)
Šebesta, Karel; Bedřichová, Zuzanna; Šormová, Kateřina. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2017
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15
FicTree 1.0
Jelínek, Tomáš; Hnátková, Milena; Skoumalová, Hana. - : Charles University, Faculty of Arts, Institute of Theoretical and Computational Linguistics, 2017
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16
Universal Dependencies 2.1
Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2017
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17
SYN v4: large corpus of written Czech
Abstract: Corpus of contemporary written (printed) Czech sized 3.6 GW (i.e. 4.3 billion tokens). It covers mostly the period of 1990–2014 and it is a traditional corpus (as opposed to the web-crawled corpora) with rich metadata containing bibliographical information etc. Although it contains a wide range of text types (fiction, non-fiction, newspapers), the newspapers prevail noticeably. The corpus is lemmatized and morphologically annotated by a combination of stochastic and rule-based methods. The corpus is provided in a (semi-XML) vertical format used as an input to the Manatee query engine. The data thus correspond to the corpus available via the KonText query interface to registered users of the CNC at http://www.korpus.cz with one important exception: the corpus are shuffled, i.e. divided into blocks sized max. 100 words (respecting the sentence boundaries) with ordering randomized within the given document.
Keyword: corpus; written language
URL: http://hdl.handle.net/11234/1-1846
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18
SYN2015: representative corpus of written Czech
Křen, Michal; Cvrček, Václav; Čapka, Tomáš. - : Faculty of Arts, Institute of the Czech National Corpus, Charles University in Prague, 2015
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19
AKCES 5 (CzeSL-SGT) Release 2
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20
SYN2013PUB: corpus of written Czech newspapers
Křen, Michal; Hnátková, Milena; Jelínek, Tomáš. - : Faculty of Arts, Institute of the Czech National Corpus, Charles University in Prague, 2014
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