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1
Universal Dependencies 1.2
Nivre, Joakim; Agić, Željko; Aranzabe, Maria Jesus. - : Universal Dependencies Consortium, 2015
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2
Morphological lexicon Sloleks 1.0
Dobrovoljc, Kaja; Krek, Simon; Holozan, Peter. - : Centre for Language Resources and Technologies, University of Ljubljana, 2015
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3
Spoken corpus Gos 1.0
Zwitter Vitez, Ana; Zemljarič Miklavčič, Jana; Krek, Simon. - : Centre for Language Resources and Technologies, University of Ljubljana, 2015
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4
Written corpus ccGigafida 1.0
Logar, Nataša; Erjavec, Tomaž; Krek, Simon. - : Centre for Language Resources and Technologies, University of Ljubljana, 2015
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5
MULTEXT-East free lexicons 4.0
Erjavec, Tomaž; Bruda, Ştefan; Derzhanski, Ivan. - : Jožef Stefan Institute, 2015
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6
Training corpus jos1M 1.1
Erjavec, Tomaž; Krek, Simon. - : Jožef Stefan Institute, 2015
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7
Reference corpus of historical Slovene goo300k 1.2
Erjavec, Tomaž. - : Jožef Stefan Institute, 2015
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8
Morphological lexicon Sloleks 1.2
Dobrovoljc, Kaja; Krek, Simon; Holozan, Peter. - : Centre for Language Resources and Technologies, University of Ljubljana, 2015
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9
MULTEXT-East "1984" document corpus 4.0
Erjavec, Tomaž; Bruda, Ştefan; Dimitrova, Ludmila. - : Jožef Stefan Institute, 2015
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10
MULTEXT-East non-commercial lexicons 4.0
Erjavec, Tomaž; Derzhanski, Ivan; Divjak, Dagmar. - : Jožef Stefan Institute, 2015
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11
Written corpus ccKres 1.0
Logar, Nataša; Erjavec, Tomaž; Krek, Simon. - : Centre for Language Resources and Technologies, University of Ljubljana, 2015
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12
Lexicon of historical Slovene imp25k 1.1
Erjavec, Tomaž. - : Jožef Stefan Institute, 2015
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13
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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14
Digital library and corpus of historical Slovene IMP 1.1
Erjavec, Tomaž. - : Jožef Stefan Institute, 2015
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15
MULTEXT-East "1984" annotated corpus 4.0
Erjavec, Tomaž; Barbu, Ana-Maria; Derzhanski, Ivan. - : Jožef Stefan Institute, 2015
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16
Japanese web corpus with difficulty levels jpWaC-L 1.0
Erjavec, Tomaž; Hmeljak Sangawa, Kristina; Kawamura, Yoshiko. - : Jožef Stefan Institute, 2015
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17
Main results of MONDILEX project
In: Cognitive Studies | Études cognitives; No 11 (2011); 265-290 ; 2392-2397 (2015)
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18
MONDILEX – towards the research infrastructure for digital resources in Slavic lexicography
In: Cognitive Studies | Études cognitives; No 10 (2010); 147-162 ; 2392-2397 (2015)
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19
The Japanese-Slovene dictionary jaSlo: its development, enhancement and use
In: Cognitive Studies | Études cognitives; No 10 (2010); 203-216 ; 2392-2397 (2015)
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