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1
Universal Dependencies 2.9
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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2
Universal Dependencies 2.8.1
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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3
Universal Dependencies 2.8
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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4
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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5
Corpus of Written Standard Slovene Gigafida 2.0
Krek, Simon; Erjavec, Tomaž; Repar, Andraž. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021
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6
Universal Dependencies 2.7
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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7
Universal Dependencies 2.6
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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8
Universal Dependencies 2.5
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019
BASE
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9
Universal Dependencies 2.4
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019
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10
Training corpus ssj500k 2.2
Krek, Simon; Dobrovoljc, Kaja; Erjavec, Tomaž. - : Centre for Language Resources and Technologies, University of Ljubljana, 2019
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11
Morphological lexicon Sloleks 2.0
Dobrovoljc, Kaja; Krek, Simon; Holozan, Peter. - : Centre for Language Resources and Technologies, University of Ljubljana, 2019
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12
CMC training corpus Janes-Tag 2.1
Abstract: Janes-Tag is a manually annotated corpus of Slovene Computer-Mediated Communication (CMC). It is meant as a gold-standard training and testing dataset for tokenisation, sentence segmentation, word normalisation, morphosyntactic tagging, lemmatisation and named entity annotation of non-standard Slovene. As the corpus has been carefully manually annotated, it is also suitable for detailed linguistic explorations which require highly accurate and reliable annotations. As an update to version 2.0, this version corrects some minor errors in NER annotation and introduces, in addition to MULTEXT-East morphosyntactic descriptions, also Universal Dependencies morphological features and the corpus in CoNLL-U format. The UD features are also included in the vert file. The first version of this corpus is described in: ERJAVEC, Tomaž, ČIBEJ, Jaka, ARHAR HOLDT, Špela, LJUBEŠIĆ, Nikola, FIŠER, Darja. 2016. Gold-standard datasets for annotation of Slovene computer-mediated communication. In Proceedings of RASLAN 2016: Recent Advances in Slavonic Natural Language Processing. Brno: Tribun EU, 2016, pp. 29-40, https://nlp.fi.muni.cz/raslan/raslan16.pdf FIŠER, Darja, LJUBEŠIĆ, Nikola, ERJAVEC, Tomaž. 2018. The Janes project: language resources and tools for Slovene user generated content. Language Resources & Evaluation. https://rdcu.be/7RX4 Note that a related corpus, Janes-Norm is also available, cf. http://hdl.handle.net/11356/1084.
Keyword: computer-mediated communication; lemmatisation; manual annotation; named entities; part-of-speech tagging; TEI; tokenisation; word normalisation
URL: http://hdl.handle.net/11356/1238
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13
Training corpus jos1M 1.2
Erjavec, Tomaž; Krek, Simon; Dobrovoljc, Kaja. - : Jožef Stefan Institute, 2019
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14
Universal Dependencies 2.2
In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
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15
Universal Dependencies 2.3
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018
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16
Universal Dependencies 2.2
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018
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17
Automatically constructed multiword lexicon slMWELex v0.5
Ljubešić, Nikola; Krek, Simon; Dobrovoljc, Kaja. - : Jožef Stefan Institute, 2018
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18
Training corpus ssj500k 2.1
Krek, Simon; Dobrovoljc, Kaja; Erjavec, Tomaž. - : Centre for Language Resources and Technologies, University of Ljubljana, 2018
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19
Universal Dependencies 2.1
In: https://hal.inria.fr/hal-01682188 ; 2017 (2017)
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20
Universal Dependencies 2.0 alpha (obsolete)
Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2017
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