Analiza distribucije glagolskih vrsta u općem korpusu hrvatskoga jezika

Blazsetin, Danijel Sztjepan

undergraduate thesis

Analiza distribucije glagolskih vrsta u općem korpusu hrvatskoga jezika

Zagreb: University of Zagreb, University of Zagreb, Faculty of Humanities and Social Sciences, 2019. urn:nbn:hr:131:069091

Blazsetin, Danijel Sztjepan

University of Zagreb
Faculty of Humanities and Social Sciences
Department of information and Communication sciences

Institutional repository: ODRAZ

Cite this document

APA 6th Edition

Blazsetin, D. S. (2019). Analiza distribucije glagolskih vrsta u općem korpusu hrvatskoga jezika (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:131:069091

MLA 8th Edition

Blazsetin, Danijel Sztjepan. "Analiza distribucije glagolskih vrsta u općem korpusu hrvatskoga jezika." Undergraduate thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2019. https://urn.nsk.hr/urn:nbn:hr:131:069091

Chicago 17th Edition

Harvard

Blazsetin, D. S. (2019). 'Analiza distribucije glagolskih vrsta u općem korpusu hrvatskoga jezika', Undergraduate thesis, University of Zagreb, Faculty of Humanities and Social Sciences, accessed 06 January 2025, https://urn.nsk.hr/urn:nbn:hr:131:069091

Vancouver

Blazsetin DS. Analiza distribucije glagolskih vrsta u općem korpusu hrvatskoga jezika [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences; 2019 [cited 2025 January 06] Available at: https://urn.nsk.hr/urn:nbn:hr:131:069091

IEEE

D. S. Blazsetin, "Analiza distribucije glagolskih vrsta u općem korpusu hrvatskoga jezika", Undergraduate thesis, University of Zagreb, Faculty of Humanities and Social Sciences, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:131:069091

Cite this item: https://urn.nsk.hr/urn:nbn:hr:131:069091

Metadata

Title	Analiza distribucije glagolskih vrsta u općem korpusu hrvatskoga jezika
Title (english)	Verb class distribution analysis in a general corpus of Croatian language
Author	Danijel Sztjepan Blazsetin
Mentor	Petra Bago (mentor)
Committee member	Nives Mikelić Preradović (predsjednik povjerenstva)
Committee member	Tomislav Lauc (član povjerenstva)
Committee member	Petra Bago (član povjerenstva)
Granter	University of Zagreb Faculty of Humanities and Social Sciences (Department of information and Communication sciences) Zagreb
Defense date and country	2019-09-05, Croatia
Scientific / art field, discipline and subdiscipline	SOCIAL SCIENCES Information and Communication Sciences
Abstract	Hrvatske gramatike i preskriptivni priručnici klasificiraju glagole u glagolske vrste prema njihovim morfosintaktičkim karakteristikama. Frekvencijski se podaci o glagolskim vrstama u hrvatskim priručnicima temelje na malom broju glagola. Zaključci poput brojnosti ili produktivnosti nekog razreda doneseni su bez uvida u veliki korpus. Dosadašnje su podjele crpile glagole iz korpusa koji su sastavljeni od književnih djela i kao takvi predstavljaju umjetni oblik hrvatskoga jezika, a gramatike opisuju standardnu inačicu hrvatskoga jezika. U ovom se radu analiziraju glagoli iz korpusa hrWaC koji sadrži 1,4 milijardi pojavnica i oko 90 000 glagola. Analizom glagola iz korpusa hrWaC opisivat će se manje formalni i nestandardni idiom hrvatskoga jezika, odnosno jezik svakodnevice. Oslanjajući se na korpus, rad problematizira glagolsku klasifikaciju u vrste i reevaluira postojeće podatke o glagolskim vrstama u hrvatskim gramatikama. Rad ukratko opisuje glagole i njihove morfološke karakteristike te postojeće klasifikacije. Izlučivanjem glagola iz hrvatskoga mrežnog korpusa hrWaC i njihovim obrađivanjem, odnosno klasifikacijom, rad pruža novi uvid u frekvencijsku distribuciju glagolskih vrsta. Rad ističe probleme i poteškoće koje su se javile pri izradi ovoga modela i preispituje dosadašnje glagolske klasifikacije.
Abstract (english)	Croatian grammar textbooks have a long tradition of classifying verbs based on their morphosyntactic characteristics. These classifications were based on a small number of verbs. Conclusions, such as the frequency or productiveness of a class, were drawn without having the insight into a big corpus. Corpora used in such descriptions were made of literary works and therefore were describing an artificial form of the Croatian language. The corpus used for analyzing verbs in this thesis is hrWaC which contains 1,4 billion tokens and about 90 000. This corpus was selected with the intention of describing and analyzing a less formal and standardized language, i.e. a language more similar to its everyday form. This thesis offers a corpus-based approach to the problem of verb classification and aims to reevaluate the existing concepts and conclusions that are offered in Croatian grammars. The thesis gives a brief introduction to verbs, their morphological characteristics and their classification. By extracting verbs from the Croatian web corpus hrWaC and processing them computationally, the thesis gives an insight into the verb distribution in the Croatian language and points out some difficulties that were encountered during this pilot project of reevaluation of existing verb classifications.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:131:069091
Study programme	Title: Information Sciences Study programme type: university Study level: undergraduate Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informacijskih znanosti (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informacijskih znanosti)
Type of resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Created on	2019-10-04 12:00:23

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