prikaz prve stranice dokumenta Automatization of Valency Frames Prediction Based on Verb Prefixation with NooJ
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master's thesis
Automatization of Valency Frames Prediction Based on Verb Prefixation with NooJ
Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences, 2022. urn:nbn:hr:131:708196
Bajac, Petra
University of Zagreb
Faculty of Humanities and Social Sciences
Department of Linguistics

Institutional repository: ODRAZ

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Bajac, P. (2022). Automatization of Valency Frames Prediction Based on Verb Prefixation with NooJ (Master's thesis). Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:131:708196

Bajac, Petra. "Automatization of Valency Frames Prediction Based on Verb Prefixation with NooJ." Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2022. https://urn.nsk.hr/urn:nbn:hr:131:708196

Bajac, Petra. "Automatization of Valency Frames Prediction Based on Verb Prefixation with NooJ." Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2022. https://urn.nsk.hr/urn:nbn:hr:131:708196

Bajac, P. (2022). 'Automatization of Valency Frames Prediction Based on Verb Prefixation with NooJ', Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, accessed 06 January 2025, https://urn.nsk.hr/urn:nbn:hr:131:708196

Bajac P. Automatization of Valency Frames Prediction Based on Verb Prefixation with NooJ [Master's thesis]. Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences; 2022 [cited 2025 January 06] Available at: https://urn.nsk.hr/urn:nbn:hr:131:708196

P. Bajac, "Automatization of Valency Frames Prediction Based on Verb Prefixation with NooJ", Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:131:708196

Metadata
TitleAutomatization of Valency Frames Prediction Based on Verb Prefixation with NooJ
AuthorPetra Bajac
MentorBožo Bekavac (mentor)
MentorKrešimir Šojat (komentor)
Committee memberKristina Kocijan (predsjednik povjerenstva)
GranterUniversity of Zagreb
Faculty of Humanities and Social Sciences
(Department of Linguistics)
Zagreb
Defense date and country2022-03-23, Croatia
Scientific / art field,
discipline and subdiscipline		HUMANISTIC SCIENCES
Philology
General Linguistics
Abstract
By approaching the phenomenon of verbal prefixation in Croatian through the verb dati ‘to give’ and its 18 derivationally related forms, such as prodati ‘to sell’ and dodati ‘to add’, this thesis outlines the impact prefixation can have on the verb’s valency frames. By utilizing the NooJ application to create a formal grammar which can detect and tag derivationally related verb forms, and with the help of a model <NP>/<PP> chunker for Croatian, our research aims to start the process of automatization of valency frames prediction and thus to speed up the analysis of prefixed verbs and their valency frames. Our analysis is focused specifically on those verbs which are not currently present in the Croatian valency lexicon CROVALLEX, and as a result, we provide the valency frame descriptions for 10 missing verbs from the dati derivational family. Furthermore, this thesis provides a template for the automatized creation of connections between derived and base verb forms.
Abstract (croatian)
Pristupivši procesu glagolske prefiksacije u hrvatskom jeziku bazirajući se na primjeru glagola dati i njegovih 18 derivacijski povezanih oblika, poput prodati i dodati, ovaj rad prikazuje utjecaj prefiksacije na promjene u valencijskim okvirima derivacijski povezanih glagola. Cilj je ovog rada započeti proces automatizacije izrade valencijskih okvira pa smo tako izradili model formalne gramatike putem aplikacije NooJ koja može pronaći i označiti derivacijski povezane glagole. Uz pomoć modela razdjelnika za imenske fraze i prijedložno-padežne izraze, naš pristup ubrzava proces analize prefigiranih glagola i pripadajućih okvira. Naša se analiza primarno fokusira na one glagole koji trenutno nisu prisutni u CROVALLEX-u, valencijskom leksikonu glagola hrvatskoga jezika, a koji su dio derivacijske mreže glagola dati, te smo stoga opisali valencijske okvire 10 prefigiranih glagola koji nedostaju. Također, kao rezultat ovog rada nastao je i mogući predložak za automatsku izradu poveznica među deriviranim i osnovnim oblicima glagola.
Keywords
Keywords (croatian)
Languageenglish
URN:NBNurn:nbn:hr:131:708196
Study programmeTitle: Linguistics (double major); specializations in: General Linguistics, Comparative Linguistics, Computational Linguistics, Aplied Linguistics and Cognitive Linguistics, Cognitive
Course: Computational Linguistics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra lingvistike (magistar/magistra lingvistike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-03-30 16:33:20