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1
The CLASSLA-StanfordNLP model for lemmatisation of standard Slovenian 1.4
Ljubešić, Nikola; Krsnik, Luka. - : Jožef Stefan Institute, 2022
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2
Texte électronique enrichi par lemmatisation et étiquetage morphosyntaxique, portion de La Mort du roi Arthur , http://www.atilf.fr/dmf/MortArthur/
In: https://hal.archives-ouvertes.fr/hal-03426756 ; 2021 (2021)
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3
Corpus and Models for Lemmatisation and POS-tagging of Classical French Theatre
In: EISSN: 2416-5999 ; Journal of Data Mining and Digital Humanities ; https://halshs.archives-ouvertes.fr/halshs-02591388 ; Journal of Data Mining and Digital Humanities, Episciences.org, 2021, ⟨10.46298/jdmdh.6485⟩ (2021)
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4
Corpus and Models for Lemmatisation and POS-tagging of Old French
In: https://halshs.archives-ouvertes.fr/halshs-03353125 ; 2021 (2021)
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5
Expanding the content model of annotationBlock
In: Next Gen TEI, 2021 - TEI Conference and Members’ Meeting ; https://hal.archives-ouvertes.fr/hal-03380805 ; Next Gen TEI, 2021 - TEI Conference and Members’ Meeting, Oct 2021, Virtual, United States (2021)
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6
Annotated Corpus of Pre-Standardized Balkan Slavic Literature 1.1
Šimko, Ivan. - : Slavic Seminary, University of Zurich, 2021
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7
Ekspress news article archive (in Estonian and Russian) 1.0
Purver, Matthew; Pollak, Senja; Freienthal, Linda. - : Ekspress Meedia Group, 2021
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8
The CLASSLA-StanfordNLP model for lemmatisation of standard Slovenian 1.3
Ljubešić, Nikola; Krsnik, Luka. - : Jožef Stefan Institute, 2021
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9
Corpus of Written Standard Slovene Gigafida 2.0
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.
Keyword: lemmatisation; morphosyntactic tags; reference corpus; representative corpus; standard language
URL: http://hdl.handle.net/11356/1320
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10
Die leksikografiese bewerking van verwantskapsterme in Sepedi
In: Lexikos, Vol 22, Pp 261-271 (2021) (2021)
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11
Lexical explorer: extending access to the database for spoken German for user-specific purposes
In: Corpora. - Edinburgh : Univ. Press 15 (2020) 1, 55-76
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12
Guidelines for linguistic annotation of modern French (16th-18th c.) ; Manuel d'annotation linguistique pour le français moderne (XVIe -XVIIIe siècles)
In: https://hal.archives-ouvertes.fr/hal-02571190 ; 2020 (2020)
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13
Standardizing linguistic data: method and tools for annotating (pre-orthographic) French ; Standardiser les données linguistiques: méthodes et outils pour l'annotation du français (pré-orthographique)
In: Proceedings of the 2nd International Digital Tools & Uses Congress (DTUC '20) ; https://hal.archives-ouvertes.fr/hal-03018381 ; Proceedings of the 2nd International Digital Tools & Uses Congress (DTUC '20), Oct 2020, Hammamet, Tunisia. ⟨10.1145/3423603.3423996⟩ (2020)
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14
Texte électronique enrichi par lemmatisation et étiquetage morphosyntaxique, Lais,Testament, Poésies diverses de François Villon, http://www.atilf.fr/dmf/VillonAgregation/
In: https://hal.archives-ouvertes.fr/hal-02978724 ; 2020 (2020)
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15
CORPUS17: a philological corpus for 17th c. French ; CORPUS17: un corpus philologique pour le 17ème siècle français
In: Proceedings of the 2nd International Digital Tools & Uses Congress (DTUC ’20) ; https://hal.archives-ouvertes.fr/hal-03041871 ; Proceedings of the 2nd International Digital Tools & Uses Congress (DTUC ’20), Oct 2020, Hammamet, Tunisia. ⟨10.1145/3423603.3424002⟩ (2020)
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16
A Critical Evaluation of Three Sesotho Dictionaries
In: Lexikos; Vol. 30 (2020) ; 2224-0039 (2020)
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17
The CLASSLA-StanfordNLP model for lemmatisation of standard Macedonian 1.0
Ljubešić, Nikola; Zdravkova, Katerina; Erjavec, Tomaž. - : Jožef Stefan Institute, 2020
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18
Spoken Torlak dialect corpus 1.0 (transcription)
Vuković, Teodora. - : Slavisches Seminar, University of Zurich, 2020
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19
Annotated Corpus of Pre-Standardized Balkan Slavic Literature
Šimko, Ivan. - : Slavic Seminary, University of Zurich, 2020
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20
The CLASSLA-StanfordNLP model for lemmatisation of standard Slovenian 1.1
Ljubešić, Nikola. - : Jožef Stefan Institute, 2020
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