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Repository of psychological instruments in Serbian [Repozitorijum psiholoških instrumenata na srpskom jeziku] (REPOPSI) ...
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Clitics in the wild : Empirical studies on the microvariation of the pronominal, reflexive and verbal clitics in Bosnian, Croatian and Serbian ...
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The case of fragment answers
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In: Proceedings of the Linguistic Society of America; Vol 7, No 1 (2022): Proceedings of the Linguistic Society of America; 5214 ; 2473-8689 (2022)
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Temnić Inscription from Balkan-Slavic and Old Russian Perspectives ; Темничская надпись в свете балканско-славянских и древнерусских данных
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In: Slověne = Словѣне. International Journal of Slavic Studies; Vol 10, No 1 (2021); 18-40 ; 2305-6754 ; 2304-0785 (2021)
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East Slavonic Sources of the First Serbian Primer Composed by Gabriel Stefanović Venclović (1717) ; Восточнославянские источники первого сербского букваря Гавриила Стефановича Венцловича (1717 г.)
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In: Slověne = Словѣне. International Journal of Slavic Studies; Vol 10, No 1 (2021); 157-185 ; 2305-6754 ; 2304-0785 (2021)
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Glottolog 4.4 Resources for Romano-Serbian
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: Max Planck Institute for Evolutionary Anthropology, 2021
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Glottolog 4.4 Resources for Serbian Standard
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: Max Planck Institute for Evolutionary Anthropology, 2021
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Constituent order in Serbian Sign Language declarative clauses
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In: Glossa: a journal of general linguistics; Vol 6, No 1 (2021); 39 ; 2397-1835 (2021)
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A Twitter Corpus and Lexicon for Abusive Speech Detection in Serbian ...
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Abstract:
Abusive speech in social media, including profanities, derogatory and hate speech, has reached the level of a pandemic. A system that would be able to detect such texts could help in making the Internet and social media a better and more respectful virtual space. Research and commercial application in this area were so far focused mainly on the English language. This paper presents the work on building AbCoSER, the first corpus of abusive speech in Serbian. The corpus consists of 6,436 manually annotated tweets, out of which 1,416 were labelled as tweets using some kind of abusive speech. Those 1,416 tweets were further sub-classified, for instance to those using vulgar, hate speech, derogatory language, etc. In this paper, we explain the process of data acquisition, annotation, and corpus construction. We also discuss the results of an initial analysis of the annotation quality. Finally, we present an abusive speech lexicon structure and its enrichment with abusive triggers extracted from the AbCoSER ... : OASIcs, Vol. 93, 3rd Conference on Language, Data and Knowledge (LDK 2021), pages 13:1-13:17 ...
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Keyword:
abusive language; Computing methodologies → Natural language processing; corpus; hate speech; lexicon; Serbian; Twitter
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URL: https://drops.dagstuhl.de/opus/volltexte/2021/14549/ https://dx.doi.org/10.4230/oasics.ldk.2021.13
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Logros lexicográficos del hispanismo serbio y el croata ; Lexicographical Achievements of Hispanic Studies in Serbia and Croatia
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Употребление топонимов в спонтанной речи венгров Воеводины и Прекмурья ; The Use of Toponyms in the Spontaneous Speech of Hungarians Living in Vojvodina and Prekmurje
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Corpora in the Classroom - the Case of the Serbian Language for Italian Speakers
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Perisic Olja. - : URSS, 2021. : country:RUS, 2021. : place:Mosca, 2021
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Translating deictic motion verbs among Bulgarian, Croatian, and Serbian: A corpus-based study
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In: Russian Journal of Linguistics, Vol 25, Iss 1, Pp 43-67 (2021) (2021)
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Converting raw transcripts into an annotated and turn-aligned TEI-XML corpus: the example of the Corpus of Serbian Forms of Address
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In: Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave, Vol 9, Iss 1 (2021) (2021)
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The role of gender in the acquisition of the Serbian case system
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In: Proceedings of the Linguistic Society of America; Vol 6, No 1 (2021): Proceedings of the Linguistic Society of America; 896–905 ; 2473-8689 (2021)
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Impersonal constructions in Slavic
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In: Encyclopedia of Slavic Languages and Linguistics Online ; https://hal.archives-ouvertes.fr/hal-02962429 ; Marc L. Greenberg (ed.). Encyclopedia of Slavic Languages and Linguistics Online, Netherlands: Brill, pp.1-18, 2020 ; <http://dx.doi.org/10.1163/2589-6229_ESLO_COM_035956> (2020)
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Serbian version of the Multilingual Assessment Instrument for Narratives (MAIN) [Online resource]
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In: New language versions of MAIN: Multilingual Assessment Instrument for Narratives - revised / Natalia Gagarina & Josefin Lindgren (Eds.). Leibniz-Zentrum Allgemeine Sprachwissenschaft: ZAS papers in linguistics ; Nr. 64 (2020), 189-197
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Linguistik-Repository
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