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1
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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2
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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3
Croatian Twitter training corpus ReLDI-NormTagNER-hr 2.1
Ljubešić, Nikola; Erjavec, Tomaž; Batanović, Vuk. - : Jožef Stefan Institute, 2019
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4
CMC training corpus Janes-Tag 2.1
Erjavec, Tomaž; Fišer, Darja; Čibej, Jaka. - : Jožef Stefan Institute, 2019
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5
Serbian Twitter training corpus ReLDI-NormTagNER-sr 2.1
Ljubešić, Nikola; Erjavec, Tomaž; Batanović, Vuk. - : Jožef Stefan Institute, 2019
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6
Training corpus jos1M 1.2
Erjavec, Tomaž; Krek, Simon; Dobrovoljc, Kaja. - : Jožef Stefan Institute, 2019
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7
Training corpus SETimes.SR 1.0
Batanović, Vuk; Ljubešić, Nikola; Samardžić, Tanja. - : Regional Linguistic Data Initiative Centre ReLDI, 2018
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8
Training corpus hr500k 1.0
Ljubešić, Nikola; Agić, Željko; Klubička, Filip. - : Jožef Stefan Institute, 2018
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9
Reference corpus of historical Slovene goo300k 1.2
Erjavec, Tomaž. - : Jožef Stefan Institute, 2015
Abstract: goo300k is a manually annotated reference corpus of historical Slovene. It contains 1,100 pages (about 300,000 tokens) sampled from 89 texts from the period 1584-1899. Each text contains extensive meta-data and per-page links to facsimiles, while the word tokens in the texts are annotated with their modernised word-form, lemma, part-of-speech, and, for archaic words, their nearest modern synonyms or short explanation. The corpus is available in source TEI P5 XML and in the simpler and smaller vertical format, used by various concordancers. Note that the vertical format does not contain all the information from the source TEI.
Keyword: historical language; lemmatisation; manual annotation; part-of-speech tagging; TEI; word modernisation
URL: http://hdl.handle.net/11356/1025
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10
MULTEXT-East "1984" annotated corpus 4.0
Erjavec, Tomaž; Barbu, Ana-Maria; Derzhanski, Ivan. - : Jožef Stefan Institute, 2015
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