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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
Spoken corpus Gos 1.1
Zwitter Vitez, Ana; Zemljarič Miklavčič, Jana; Krek, Simon. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021
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5
The Orange workflow for observing collocation trends ColTrend 1.0
Kosem, Iztok; Krek, Simon; Čibej, Jaka. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021
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6
Comprehensive Slovenian-Hungarian Dictionary 1.0
Kosem, Iztok; Bálint Čeh, Júlia; Ponikvar, Primož. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021
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7
Slovene ontology of semantic types for nouns SLONEST-noun 1.0
Kosem, Iztok; Pori, Eva; Gantar, Polona. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021
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8
Valency lexicon extracted from the Gigafida 2.1 corpus
Krek, Simon; Gantar, Polona; Krsnik, Luka. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021
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9
Morphological patterns from the Sloleks 2.0 lexicon 1.0
Arhar Holdt, Špela; Čibej, Jaka; Laskowski, Cyprian. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021. : Jožef Stefan Institute, 2021
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10
Multiword Expressions lexicon extracted from the Gigafida 2.1 corpus
Krek, Simon; Gantar, Apolonija; Laskowski, Cyprian. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021
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11
The Orange workflow for observing collocation clusters ColEmbed 1.0
Kosem, Iztok; Čibej, Jaka; Ljubešić, Nikola. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021
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12
Training corpus ssj500k 2.3
Abstract: The ssj500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, and lemmatisation. About half of the corpus is also manually annotated with syntactic dependencies, named entities, and verbal multiword expressions. About a quarter of the corpus is also annotated with semantic role labels. The morphosyntactic tags and syntactic dependencies are included both in the JOS/MULTEXT-East framework, as well as in the framework of Universal Dependencies. The annotations of the ssj500k corpus follow (1) the MULTEXT-East V6 morphosyntactic specifications for Slovene, http://nl.ijs.si/ME/V6/msd/, (2) the JOS dependency schema, http://nl.ijs.si/jos/bib/jos-skladnja-navodila.pdf, the Universal Dependencies morphosyntactic specifications and syntactic dependencies for Slovene-SSJ, https://universaldependencies.org/, (4) the Janes annotation guidelines for Slovenian named entities, http://nl.ijs.si/janes/wp-content/uploads/2017/09/SlovenianNER-eng-v1.1.pdf, and (5) the Guidelines of the PARSEME shared task on verbal multiword expressions, http://parsemefr.lif.univ-mrs.fr/parseme-st-guidelines/1.1/ The vocabulary of (1) and (2) is provided in the back element and (3), (4), and (5) in the teiHeader of the TEI encoded corpus. The semantic role labels are also documented in the teiHeader. In contrast to the previous version 2.2, this version includes the corrected Universal Dependencies relations from UD version 2.8, updates the TEI encoding and adds UD annotations to the vertical file.
Keyword: CONLL-U; dependency treebank; manual annotation; named entities; parsing; part-of-speech tagging; semantic role labelling; TEI; tokenisation; verbal multiword expressions
URL: http://hdl.handle.net/11356/1434
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13
Frequency lists of collocations from the Gigafida 2.1 corpus
Krek, Simon; Gantar, Polona; Kosem, Iztok. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021
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14
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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15
Stimulating Knowledge Exchange via Trans-national Access – the ELEXIS Travel Grants as a Lexicographical Use Case ...
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16
Stimulating Knowledge Exchange via Trans-national Access – the ELEXIS Travel Grants as a Lexicographical Use Case ...
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17
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe
In: Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-02892154 ; Language Resources and Evaluation Conference, ELDA/ELRA, May 2020, Marseille, France ; https://lrec2020.lrec-conf.org/en/ (2020)
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18
Universal Dependencies 2.7
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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19
Universal Dependencies 2.6
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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20
List of word relations from the Sloleks 2.0 lexicon 1.0
Čibej, Jaka; Arhar Holdt, Špela; Krek, Simon. - : Centre for Language Resources and Technologies, University of Ljubljana, 2020. : Jožef Stefan Institute, 2020
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