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1
The Janes project: language resources and tools for Slovene user generated content [<Journal>]
Fišer, Darja [Verfasser]; Ljubešić, Nikola [Sonstige]; Erjavec, Tomaž [Sonstige]
DNB Subject Category Language
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2
Universal Dependencies 2.2
In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
BASE
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3
Universal Dependencies 2.3
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018
BASE
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4
Universal Dependencies 2.2
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018
BASE
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5
Dictionary of Twitterese Janes-Dict 1.0
Gantar, Polona; Škrjanec, Iza; Fišer, Darja. - : Faculty of Arts, University of Ljubljana, 2018
BASE
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6
English-Montenegrin parallel corpus of subtitles Opus-MontenegrinSubs 1.0
Božović, Petar; Erjavec, Tomaž; Tiedemann, Jörg. - : Jožef Stefan Institute, 2018
BASE
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7
Training corpus SETimes.SR 1.0
Batanović, Vuk; Ljubešić, Nikola; Samardžić, Tanja. - : Regional Linguistic Data Initiative Centre ReLDI, 2018
BASE
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8
Spoken corpus Gos VideoLectures 3.0 (transcription)
Verdonik, Darinka; Potočnik, Tomaž; Sepesy Maučec, Mirjam. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2018
BASE
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9
Automatically constructed multiword lexicon slMWELex v0.5
Ljubešić, Nikola; Krek, Simon; Dobrovoljc, Kaja. - : Jožef Stefan Institute, 2018
BASE
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10
Dataset and baseline model of moderated content FRENK-MMC-RTV 1.0
Ljubešić, Nikola; Erjavec, Tomaž; Fišer, Darja. - : Jožef Stefan Institute, 2018
BASE
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11
JRC EU DGT Translation Memory Parsebank DGT-UD 1.0
Ljubešić, Nikola; Erjavec, Tomaž. - : Jožef Stefan Institute, 2018
BASE
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12
Training corpus ssj500k 2.1
Krek, Simon; Dobrovoljc, Kaja; Erjavec, Tomaž. - : Centre for Language Resources and Technologies, University of Ljubljana, 2018
BASE
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13
Word embeddings CLARIN.SI-embed.sl 1.0
Ljubešić, Nikola; Erjavec, Tomaž. - : Jožef Stefan Institute, 2018
BASE
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14
Bilingual terminology extraction dataset KAS-biterm 1.0
Erjavec, Tomaž; Fišer, Darja; Ljubešić, Nikola; Bitenc, Maja. - : Jožef Stefan Institute, 2018
Abstract: The KAS-biterm bilingual term extraction dataset contains complete sentences selected from PhD theses from the KAS corpus of Slovene academic writing. Only sentences that have a high chance of containing the term in the original language and its translation into Slovene were chosen, by using three CQL patterms in noSketch Engine. These sentences are manually annotated for (1) terms, (2) partial terms and (3) abbreviations in (a) Slovene, (b) English, or (c) other language. Links between the Slovene terms and their equivalents in the other languages, as well as their abbreviations, are encoded as well. The resource can serve as a training set for supervised learning of bilingual term extraction tools and their benchmarking.
Keyword: manual annotation; terminology
URL: http://hdl.handle.net/11356/1199
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15
Terminology identification dataset KAS-term 1.0
Erjavec, Tomaž; Fišer, Darja; Ljubešić, Nikola. - : Jožef Stefan Institute, 2018
BASE
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16
Croatian language corpus Riznica 0.1
Brozović Rončević, Dunja; Ćavar, Damir; Ćavar, Małgorzata. - : Institute of Croatian Language and Linguistics, 2018
BASE
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17
Training corpus hr500k 1.0
Ljubešić, Nikola; Agić, Željko; Klubička, Filip. - : Jožef Stefan Institute, 2018
BASE
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18
Dataset and baseline model of moderated content FRENK-STYRIA-24sata 1.0
Ljubešić, Nikola; Erjavec, Tomaž; Fišer, Darja. - : Jožef Stefan Institute, 2018
BASE
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19
hr500k – A Reference Training Corpus of Croatian.
In: Conference papers (2018)
BASE
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