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Universal Segmentations 1.0 (UniSegments 1.0)
Žabokrtský, Zdeněk; Bafna, Nyati; Bodnár, Jan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2022
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2
LINGUIST List Resources for Croatian
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3
The Croatian web dictionary Mrežnik (A-F) 1.0
Hudeček, Lana; Mihaljević, Milica; Blagus Bartolec, Goranka. - : Institute for Croatian Language and Linguistics, 2022
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4
Historical development and contemporary usage of discourse structuring elements based on verba dicendi in Croatian
Birzer, Sandra. - : Otto-Friedrich-Universität, 2022. : Bamberg, 2022
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5
Universal Derivations v1.1
Kyjánek, Lukáš; Žabokrtský, Zdeněk; Vidra, Jonáš. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021
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6
24sata news comment dataset 1.0
Shekhar, Ravi; Pranjic, Marko; Pollak, Senja. - : Styria Media Group, 2021
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7
Glottolog 4.4 Resources for Croatian Standard
: Max Planck Institute for Evolutionary Anthropology, 2021
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8
Romance and Croatian in Contact: Non-Clitic Auxiliaries in Istro-Romanian
In: Languages ; Volume 6 ; Issue 4 (2021)
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9
Glottolog 4.4 Resources for Serbian-Croatian-Bosnian
: Max Planck Institute for Evolutionary Anthropology, 2021
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10
The role of gender in the acquisition of the Serbian case system
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)
Abstract: Serbo-Croatian is marked for seven cases and has a noun class vs. gender distinction. Given the complexity of the inflectional system, we look at Serbo-Croatian as a case study in case acquisition. We explore different correlations available in the input that children could leverage to acquire the case system in Serbo-Croatian. We ask three main questions: 1) does a noun’s gender predict the noun’s nominative singular suffix? 2) does a noun’s nominative singular suffix predict the noun’s gender? and 3) does a noun’s noun class predict the noun’s gender? Specifically, we ask whether the language input provides children with sufficient evidence to form these three productive generalizations. To test this, we apply the Tolerance Principle (Yang, 2016) to a corpus of 270 inflected Serbian nouns. Within this set of data, we find that: 1) all nominative singular suffixes productively predict a gender; 2) all genders productively predict a nominative singular suffix (with the exception of the neuter gender which predicts two suffixes); and 3) two of the three noun classes predict a single gender. We conclude that the input provides sufficient evidence for these productive correlations and we argue that children can leverage these generalizations to infer the declension patterns or gender of novel nouns. We discuss how, given these findings, children could acquire most of the inflectional system by focusing on gender as a categorization system for nouns, without needing to posit abstract categories of noun class.
Keyword: case marking; Croatian; Language Acquisition; morphology; Serbian
URL: https://doi.org/10.3765/plsa.v6i1.5031
http://journals.linguisticsociety.org/proceedings/index.php/PLSA/article/view/5031
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11
The Croatian adaptation of the Multilingual Assessment Instrument for Narratives [Online resource]
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), 37-44
Linguistik-Repository
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12
Legal variation? : A frame analysis of Croatian and Serbian in the domain of law
In: Mediterranean language review. - Wiesbaden : Harrassowitz 27 (2020), 87-111
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13
Universal Derivations v1.0
Kyjánek, Lukáš; Žabokrtský, Zdeněk; Vidra, Jonáš. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2020
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14
AfBo: A world-wide survey of affix borrowing Resources for Croatian
: Max Planck Institute for Evolutionary Anthropology, 2020
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15
The LiLaH Emotion Lexicon of Croatian, Dutch and Slovene
Daelemans, Walter; Fišer, Darja; Franza, Jasmin. - : Jožef Stefan Institute, 2020. : Centre for Computational Linguistics and Psycholinguistics (CLiPS), 2020
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16
A Resource for Evaluating Graded Word Similarity in Context: CoSimLex
Armendariz, Carlos; Matthew, Purver; Ulčar, Matej. - : Queen Mary University, 2020
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17
Retro-digitization and Interpretation of Croatian Grammar Books before Illyrism - The State of the Art ...
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18
Retro-digitization and Interpretation of Croatian Grammar Books before Illyrism - The State of the Art ...
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19
Важлива подія у слов’янській лексикографії
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20
Simultaneous acquisition of Austrian German and Croatian at home and in preschool
Camber, Marina. - 2020
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