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master's thesis
Izgradnja sustava za neuralno strojno prevođenje
Zagreb: University of Zagreb, University of Zagreb, Faculty of Humanities and Social Sciences, 2020. urn:nbn:hr:131:440947
Saratlija, Jelena
University of Zagreb
Faculty of Humanities and Social Sciences
Department of information and Communication sciences

Institutional repository: ODRAZ

Cite this document

Saratlija, J. (2020). Izgradnja sustava za neuralno strojno prevođenje (Master's thesis). Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:131:440947

Saratlija, Jelena. "Izgradnja sustava za neuralno strojno prevođenje." Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2020. https://urn.nsk.hr/urn:nbn:hr:131:440947

Saratlija, Jelena. "Izgradnja sustava za neuralno strojno prevođenje." Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2020. https://urn.nsk.hr/urn:nbn:hr:131:440947

Saratlija, J. (2020). 'Izgradnja sustava za neuralno strojno prevođenje', Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, accessed 28 April 2024, https://urn.nsk.hr/urn:nbn:hr:131:440947

Saratlija J. Izgradnja sustava za neuralno strojno prevođenje [Master's thesis]. Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences; 2020 [cited 2024 April 28] Available at: https://urn.nsk.hr/urn:nbn:hr:131:440947

J. Saratlija, "Izgradnja sustava za neuralno strojno prevođenje", Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:131:440947

Metadata
TitleIzgradnja sustava za neuralno strojno prevođenje
Title (english)Development of a neural machine translation system
AuthorJelena Saratlija
MentorIvan Dunđer (mentor)
MentorSanja Seljan (sumentor)
Committee memberVjera Lopina (predsjednik povjerenstva)
Committee memberSanja Seljan (član povjerenstva)
Committee memberIvan Dunđer (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Humanities and Social Sciences
(Department of information and Communication sciences)
Zagreb
Defense date and country2020-09-18, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Information Systems and Information Science
Abstract
Konstantni razvoj tehnologije omogućava napredak u svim područjima njezine primjene. Jedno od tih područja je i strojno prevođenje čija je važnost neizmjerna u vremenima globalizacije. Potrebno je osigurati neometan protok informacija koje će svima biti jasne i razumljive. U svrhu postizanja tog cilja važno je raditi na optimiziranju sustava za strojno prevođenje. U radu će biti prikazani teorijski i praktični aspekti izgradnje sustava za neuralno strojno prevođenje te će se usporediti statistički i neuralni model strojnog prevođenja. Sustav će biti izgrađen u odabranoj domeni nad pripremljenim skupom podataka u kojoj će se zatim testirati i evaluirati.
Abstract (english)
A continuous technological change improves every aspect of our lives where it is being implemented. One of those aspects is also machine learning whose importance is immense in times of globalization. Nowadays it is necessary to ensure a consistent flow of information that is understandable and comprehensible for everyone. In order to achieve that goal, it's important to work on optimizing machine translation systems and implementing the newest technologies. This thesis is intended to represent theoretical and practical aspects of development of a neural machine traslation system and to compare statistical and neural model of machine translation. A machine translation system will be built in a chosen domain with a prepared set of data in which it will be also tested and evaluated.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:131:440947
Study programmeTitle: Information Sciences; specializations in: Computer Science (Teaching, Research), Informatology, Information Sciences (teaching), Information Sciences (research)
Course: Information Sciences (research)
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra edukacije informacijskih znanosti (magistar/magistra edukacije informacijskih znanosti)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-09-19 09:34:09