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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
Training corpus SETimes.SR 1.0
Batanović, Vuk; Ljubešić, Nikola; Samardžić, Tanja. - : Regional Linguistic Data Initiative Centre ReLDI, 2018
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4
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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5
Training corpus hr500k 1.0
Ljubešić, Nikola; Agić, Željko; Klubička, Filip. - : Jožef Stefan Institute, 2018
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6
Training corpus ssj500k 2.0
Krek, Simon; Dobrovoljc, Kaja; Erjavec, Tomaž. - : Centre for Language Resources and Technologies, University of Ljubljana, 2017
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7
Training corpus ssj500k 1.4
Krek, Simon; Dobrovoljc, Kaja; Erjavec, Tomaž. - : Centre for Language Resources and Technologies, University of Ljubljana, 2016
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8
Training corpus ssj500k 1.3
Krek, Simon; Erjavec, Tomaž; Dobrovoljc, Kaja; Može, Sara; Ledinek, Nina; Holz, Nanika. - : Centre for Language Resources and Technologies, University of Ljubljana, 2015
Abstract: The ssj500k training corpus is based on two training corpora built within the JOS project (http://nl.ijs.si/jos/). It contains the jos100k corpus and additional material from the jos1M corpus forming a training corpus with 500,000 words, manually checked and annotated on the levels of tokenization, segmentation, morphosyntactic tagging, syntactic dependency parsing and named entities. The ssj500k corpus uses the JOS morphosyntactic tagset with 1,902 tags and dependencies with 10 labels. The part of the corpus annotated with dependency relations contains 11,411 sentences, named entities are annotated in the original jos100k part of the corpus.
Keyword: dependency treebank; manual annotation; named entities; parsing; tagging; TEI; tokenisation
URL: http://hdl.handle.net/11356/1029
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