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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 53 1 The Orange workflow for observing collocation trends ColTrend 1.0 Kosem, Iztok; Krek, Simon; Čibej, Jaka; Gantar, Polona; Arhar Holdt, Špela; Logar, Nataša; Laskowski, Cyprian; Klemenc, Bojan; Ljubešić, Nikola; Dobrovoljc, Kaja; Gorjanc, Vojko; Pori, Eva. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021 Abstract: The Orange workflow for observing collocation trends ColTrend 1.0 ColTrend is a workflow (.OWS file) for Orange Data Mining (an open-source machine learning and data visualization software: https://orangedatamining.com/) that allows the user to observe temporal collocation trends in corpora. The workflow consists of a series of Python scripts, data filters, and visualizers. As input, the workflow takes a .CSV file with data on collocations and their relative frequencies by year of publication extracted from a corpus. As output, it provides a .TSV file containing the same data (or a filtered selection thereof) enriched with four measures that indicate the collocation’s temporal trend in the corpus: (1) the slope (k) of a linear regression model fitted to the frequency data, which indicates whether the frequency of use of the collocation is increasing or declining; (2) the coefficient of determination (R2) of the linear regression model, indicating how linear the change in the collocation’s use is; (3) the ratio (m) of maximum relative frequency and average relative frequency, which indicates peaks in collocation usage; and (4) the coefficient of recent growth (t), which indicates an increased usage of the collocation in the last three years of the observed corpus data. The entry also contains three .CSV files that can be used to test the workflow. The files contain collocation candidates (along with their relative frequencies per year of publication) extracted from the Gigafida 2.0 Corpus of Written Slovene (https://viri.cjvt.si/gigafida/) with three different syntactic structures (as defined in http://hdl.handle.net/11356/1415): 1) p0-s0 (adjective + noun, e.g. rezervni sklad), 2) s0-s2 (noun + noun in the genitive case, e.g. ukinitev lastnine), and 3) gg-s4 (verb + noun in the accusative case, e.g. pripraviti besedilo). It should be noted that only collocation candidates with absolute frequency of 15 and above were extracted. Please note that the ColTrend workflow requires the installation of the Text Mining add-on for Orange. For installation instructions as well as a more detailed description of the different phases of the workflow and the measures used to observe the collocation trends, please consult the README file. Keyword: collocations; linear regression; relative frequency; temporal trends URL: http://hdl.handle.net/11356/1424 BASE Hide details 2 Comprehensive Slovenian-Hungarian Dictionary 1.0 Kosem, Iztok; Bálint Čeh, Júlia; Ponikvar, Primož. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021 BASE Show details 3 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 BASE Show details 4 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 BASE Show details 5 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 BASE Show details 6 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 BASE Show details 7 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 BASE Show details 8 Corpus of Written Standard Slovene Gigafida 2.0 Krek, Simon; Erjavec, Tomaž; Repar, Andraž. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021 BASE Show details 9 ELEXIS: Technical and social infrastructure for lexicography ... Woldrich, Anna; Goli, Teja; Kosem, Iztok. - : Zenodo, 2021 BASE Show details 10 ELEXIS: Technical and social infrastructure for lexicography ... Woldrich, Anna; Goli, Teja; Kosem, Iztok. - : Zenodo, 2021 BASE Show details 11 Creating Expert Knowledge by Relying on Language Learners: a Generic Approach for Mass-Producing Language Resources by Combining Implicit Crowdsourcing and Language Learning Nicolas, Lionel; Lyding, Verena; Borg, Claudia... In: LREC 2020 - Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-02879883 ; LREC 2020 - Language Resources and Evaluation Conference, May 2020, Marseille, France (2020) BASE Show details 12 The Image of the Monolingual Dictionary Across Europe. Results of the European Survey of Dictionary use and Culture Kosem, Iztok; Lew, Robert; Müller-Spitzer, Carolin... In: ISSN: 0950-3846 ; EISSN: 1477-4577 ; International Journal of Lexicography ; https://hal.archives-ouvertes.fr/hal-03512668 ; International Journal of Lexicography, Oxford University Press (OUP), 2019 (2019) BASE Show details 13 Keywords and n-grams from a textbook corpus Kosem, Iztok; Pori, Eva; Arhar Holdt, Špela. - : Centre for Language Resources and Technologies, University of Ljubljana, 2019 BASE Show details 14 Developmental corpus Šolar 2.0 Kosem, Iztok; Arhar Holdt, Špela; Stritar Kučuk, Mojca. - : Trojina, Institute for Applied Slovene Studies, 2019. : Centre for Language Resources and Technologies, University of Ljubljana, 2019 BASE Show details 15 Collocations Dictionary of Modern Slovene KSSS 1.0 Kosem, Iztok; Gantar, Polona; Krek, Simon. - : Centre for Language Resources and Technologies, University of Ljubljana, 2019 BASE Show details 16 Collocation lexicon of Slovene academic discourse Aleks Logar, Nataša; Kosem, Iztok; Erjavec, Tomaž. - : Faculty of Social Sciences, University of Ljubljana, 2019. : Centre for Language Resources and Technologies, University of Ljubljana, 2019. : Jožef Stefan Institute, 2019 BASE Show details 17 Error-annotated developmental corpus Šolar 2.0 Error Arhar Holdt, Špela; Goli, Teja; Lavrič, Polona. - : Trojina, Institute for Applied Slovene Studies, 2019. : Centre for Language Resources and Technologies, University of Ljubljana, 2019 BASE Show details 18 Developmental corpus (without language corrections) Šolar 2.0 Clear Kosem, Iztok; Arhar Holdt, Špela; Stritar Kučuk, Mojca. - : Trojina, Institute for Applied Slovene Studies, 2019. : Centre for Language Resources and Technologies, University of Ljubljana, 2019 BASE Show details 19 Developmental corpus ccŠolar 1.0 Kosem, Iztok; Rozman, Tadeja; Pori, Eva. - : Trojina, Institute for Applied Slovene Studies, 2019. : Centre for Language Resources and Technologies, University of Ljubljana, 2019 BASE Show details 20 Lexicographic Practices in Europe: Results of the ELEXIS Survey on User Needs ... Kallas, Jelena; Koeva, Svetla; Langemets, Margit. - : Zenodo, 2019 BASE Show details Page: 1 2 3

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