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Visualizing cluster of words: a graphical approach to grammar acquisition
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In: CLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS 13th Scientific Meeting of the Classification and Data Analysis Group - Firenze, September 9-11, 2021 ; https://hal.archives-ouvertes.fr/hal-03320170 ; Giovanni C. Porzio; Carla Rampichini; Chiara Bocci. CLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS 13th Scientific Meeting of the Classification and Data Analysis Group - Firenze, September 9-11, 2021, Firenze University Press, pp.392-395, 2021, 978-88-5518-340-6. ⟨10.36253/978-88-5518-340-6⟩ (2021)
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Corpus of Written Standard Slovene Gigafida 2.0
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Krek, Simon; Erjavec, Tomaž; Repar, Andraž; Čibej, Jaka; Arhar Holdt, Špela; Gantar, Polona; Kosem, Iztok; Robnik-Šikonja, Marko; Ljubešić, Nikola; Dobrovoljc, Kaja; Laskowski, Cyprian; Grčar, Miha; Holozan, Peter; Šuster, Simon; Gorjanc, Vojko; Stabej, Marko; Logar, Nataša. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021
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Abstract:
Gigafida 2.0, with about 1.1 billion words, is a reference corpus of written Slovene text published in the period 1990-2018. It is comprised of daily news, magazines, a selection of web texts (a certain portion of which covers news texts as well), and different types of publications (fiction, school books, and non-fiction). The texts have been selected and automatically processed with the aim of creating a corpus that represents a sample of modern standard Slovene and can be used for research in linguistics and other branches of the humanities, for compiling modern dictionaries, grammars, and learning materials, as well as for developing language technologies for Slovene. Gigafida 2.0 is an upgraded version of the Gigafida corpus (Logar et al. 2012), which was made publicly available in 2012 at www.gigafida.net. Unlike its predecessor, Gigafida 2.0 is a corpus of standard Slovene, as the majority of texts containing non-standard language features (such as user comments from news forums, etc.) was removed during the upgrade. Other improvements include the removal of duplicate texts and text fragments, an improved automatic linguistic tagging, and several new features in the interface design. All of the above is described in more detail in the corpus specifications (https://www.cjvt.si/gigafida/wp-content/uploads/sites/10/2019/06/Gigafida2.0_specifikacije.pdf). The Gigafida 2.0 corpus is comprised predominantly of newspapers, internet texts, and magazines. The texts published after the release of the first version of the corpus (2012–2018) represent approximately 27% of the new corpus. For linguistic research, the entire corpus is freely accessible online in the NoSketchEngine and Kontext concordancers, as well as the commercial SketchEngine tool. References: Simon Krek, Špela Arhar Holdt, Tomaž Erjavec, Jaka Čibej, Andraz Repar, Polona Gantar, Nikola Ljubešić, Iztok Kosem and Kaja Dobrovoljc. Gigafida 2.0: The Reference Corpus of Written Standard Slovene. Proceedings of The 12th Language Resources and Evaluation Conference. Marseille, May 2020. https://www.aclweb.org/anthology/2020.lrec-1.409/ LOGAR BERGINC, Nataša, GRČAR, Miha, BRAKUS, Marko, ERJAVEC, Tomaž, ARHAR HOLDT, Špela and KREK, Simon. Korpusi slovenskega jezika Gigafida, KRES, ccGigafida in ccKRES: gradnja, vsebina, uporaba. Ljubljana: Trojina, zavod za uporabno slovenistiko; Fakulteta za družbene vede, 2012.
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Keyword:
lemmatisation; morphosyntactic tags; reference corpus; representative corpus; standard language
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URL: http://hdl.handle.net/11356/1320
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| 3 |
Frequency lists of word-level n-grams from the GOS 1.0 corpus 1.1
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The Shortcomings of Language Tags for Linked Data When Modeling Lesser-Known Languages
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Tittel, Sabine; Gillis-Webber, Frances. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2019. : OASIcs - OpenAccess Series in Informatics. 2nd Conference on Language, Data and Knowledge (LDK 2019), 2019
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Frequency lists of word-level n-grams from the Gigafida 2.0 corpus
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Frequency lists of word-level n-grams from the GOS 1.0 corpus
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Les questions en anglais d’un point de vue diachronique
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In: Corela, Vol 29 (2019) (2019)
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Retour sur les annotations des entités nommées dans les campagnes d’évaluation françaises et comparaison avec la TEI
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In: Corela, Vol 14, Iss 2 (2016) (2016)
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Adding new words into a language model using parameters of known words with similar behavior
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In: Proceedings ICNLSP'2015, International Conference on Natural Language and Speech Processing ; International Conference on Natural Language and Speech Processing ; https://hal.inria.fr/hal-01184194 ; International Conference on Natural Language and Speech Processing, Oct 2015, Alger, Algeria (2015)
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Topical tags vs . non - topical tags : towards a bipartite classification ?
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In: ISSN: 0165-5515 ; Journal of Information Science ; https://hal.inria.fr/hal-01228923 ; Journal of Information Science, SAGE Publications, 2014, ⟨10.1177/0165551515585283⟩ (2014)
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| 14 |
Elementarunterricht und Sprachbildung unter besonderer Berücksichtigung der Unterrichtspraxis am Berliner Königlichen Taubstummeninstitut zwischen Aufklärung und Frühmoderne ...
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Wolff, Sylvia. - : Humboldt-Universität zu Berlin, Philosophische Fakultät IV, 2013
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Elementarunterricht und Sprachbildung unter besonderer Berücksichtigung der Unterrichtspraxis am Berliner Königlichen Taubstummeninstitut zwischen Aufklärung und Frühmoderne
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Wolff, Sylvia. - : Humboldt-Universität zu Berlin, Philosophische Fakultät IV, 2013
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A Generic architecture for semantic enhanced tagging systems
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Magableh, Murad. - : De Montfort University, 2011. : Faculty of Technology, 2011. : STRL, 2011
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Text Mining for Automatic Image Tagging
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In: Twenty-third Annual International Conference on Computational Linguistics (COLING), 2010, Beijing, China (2010)
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Inducing Ontologies from Folksonomies using Natural Language Understanding
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In: DTIC (2009)
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| 19 |
Other contributors
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In: http://www.lc-star.com/D4.5.pdf (2005)
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SenseLearner: Minimally Supervised Word Sense Disambiguation for All Words in Open Text
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In: Association for Computational Linguistics (ACL)/SIGLEX Senseval-3 Conference, 2004, Barcelona, Spain (2004)
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