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undergraduate thesis
Strojno prevođenje u odabranoj domeni
2021. urn:nbn:hr:131:551314
Ravkin, Iris
University of Zagreb
Faculty of Humanities and Social Sciences
Department of information and Communication sciences

Cite this document

Ravkin, I. (2021). Strojno prevođenje u odabranoj domeni (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:131:551314

Ravkin, Iris. "Strojno prevođenje u odabranoj domeni." Undergraduate thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2021. https://urn.nsk.hr/urn:nbn:hr:131:551314

Ravkin, Iris. "Strojno prevođenje u odabranoj domeni." Undergraduate thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2021. https://urn.nsk.hr/urn:nbn:hr:131:551314

Ravkin, I. (2021). 'Strojno prevođenje u odabranoj domeni', Undergraduate thesis, University of Zagreb, Faculty of Humanities and Social Sciences, accessed 29 November 2024, https://urn.nsk.hr/urn:nbn:hr:131:551314

Ravkin I. Strojno prevođenje u odabranoj domeni [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences; 2021 [cited 2024 November 29] Available at: https://urn.nsk.hr/urn:nbn:hr:131:551314

I. Ravkin, "Strojno prevođenje u odabranoj domeni", Undergraduate thesis, University of Zagreb, Faculty of Humanities and Social Sciences, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:131:551314

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Metadata
TitleStrojno prevođenje u odabranoj domeni
Title (english)Machine translation in a selected domain
AuthorIris Ravkin
MentorSanja Seljan (mentor)
Committee memberIvan Dunđer (predsjednik povjerenstva)
Committee memberVjera Lopina (član povjerenstva)
Committee memberSanja Seljan (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Humanities and Social Sciences
(Department of information and Communication sciences)
Zagreb
Defense date and country2021-09-20, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Abstract
Cilj ovog rada je prikaz različitih pristupa sustavima za strojno prevođenje, te izgradnja vlastitog sustava za strojno prevođenje iz odabrane domene, za hrvatsko-engleski jezični par. Rad je sastavljen od dva osnovna dijela, teorijskog i praktičnog. U teorijskom dijelu prikazane su različite arhitekture sustava za strojno prevođenje: sustava temeljenog na pravilima, statističkog sustava i neuronskog sustava. U drugom, praktičnom dijelu, analiziran je proces izgradnje vlastitog sustava za strojno prevođenje koji uključuje prikupljanje resursa, izgradnju sustava i zatim evaluaciju te vrednovanje kvalitete dobivenog strojnog prijevoda.
Abstract (english)
The aim of this thesis is to present different approaches to machine translation systems, as well as to construct a custom machine translation system in a selected domain, for the Croatian-English language pair. In the theoretical part of the thesis, different types of architectures of machine translation systems are presented: the rule-based system, the statistical system, and the neural system. In the practical part, the process of building a custom machine translation system is analyzed. It includes gathering necessary resources and the construction of the system, followed by evaluation of the quality of the obtained machine translations
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:131:551314
Study programmeTitle: 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 resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-09-21 15:33:35