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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
Abstract: The MWE lexicon was extracted from the Gigafida 2.1 Corpus of Written Standard Slovene (https://www.clarin.si/noske/run.cgi/corp_info?corpname=gfida21) using specialized scripts for extracting data from corpora containing syntactic dependency annotations. The lexicon contains 5,242 Multiword Expressions with 12,358 examples from Gigafida 2.1. Each MWE entry (or sense) contains at least one and up to three extracted examples. MWEs were analysed using the JOS dependency parser system (http://nl.ijs.si/jos/bib/jos-skladnja-navodila.pdf) and were assigned matching syntactic structure IDs. The corpus sentences containing the MWE components and matching syntactic structure features were identified in the corpus and assigned to the corresponding headword or sense. MWEs variants (or variant senses) are linked with the "senseKey" attribute values, forming a MWE cluster of related variants or variant senses. A sample of MWE headwords also contains manually created sense division with descriptions of meaning for each sense.
Keyword: computational lexicography; lexicon; multiword expressions; Slovenian language; syntactic structures
URL: http://hdl.handle.net/11356/1421
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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
Krek, Simon; Dobrovoljc, Kaja; Erjavec, Tomaž. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021
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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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