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master's thesis
Vrednovanje strojnog prevoditelja Google Translate na primjeru jezičnog para turski i hrvatski
Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences, 2021. urn:nbn:hr:131:503041
Leskovar, Željka
University of Zagreb
Faculty of Humanities and Social Sciences
Department of Linguistics

Institutional repository: ODRAZ

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Leskovar, Ž. (2021). Vrednovanje strojnog prevoditelja Google Translate na primjeru jezičnog para turski i hrvatski (Master's thesis). Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:131:503041

Leskovar, Željka. "Vrednovanje strojnog prevoditelja Google Translate na primjeru jezičnog para turski i hrvatski." Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2021. https://urn.nsk.hr/urn:nbn:hr:131:503041

Leskovar, Željka. "Vrednovanje strojnog prevoditelja Google Translate na primjeru jezičnog para turski i hrvatski." Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2021. https://urn.nsk.hr/urn:nbn:hr:131:503041

Leskovar, Ž. (2021). 'Vrednovanje strojnog prevoditelja Google Translate na primjeru jezičnog para turski i hrvatski', Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, accessed 20 November 2024, https://urn.nsk.hr/urn:nbn:hr:131:503041

Leskovar Ž. Vrednovanje strojnog prevoditelja Google Translate na primjeru jezičnog para turski i hrvatski [Master's thesis]. Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences; 2021 [cited 2024 November 20] Available at: https://urn.nsk.hr/urn:nbn:hr:131:503041

Ž. Leskovar, "Vrednovanje strojnog prevoditelja Google Translate na primjeru jezičnog para turski i hrvatski", Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:131:503041

Metadata
TitleVrednovanje strojnog prevoditelja Google Translate na primjeru jezičnog para turski i hrvatski
Title (english)Evaluation of the machine translation service Google Translate for Turkish-Croatian language pair
AuthorŽeljka Leskovar
MentorIvana Simeon (mentor)
Committee memberMatea Filko (predsjednik povjerenstva)
Committee memberMarko Tadić (član povjerenstva)
Committee memberIvana Simeon (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Humanities and Social Sciences
(Department of Linguistics)
Zagreb
Defense date and country2021-03-03, Croatia
Scientific / art field,
discipline and subdiscipline		HUMANISTIC SCIENCES
Philology
General Linguistics
Abstract
Ovim radom vrednovan je alat za strojno prevođenje Google Prevoditelj na konkretnom jezičnom paru turski i hrvatski. Analiza polazi od kreiranja korpusa materijala koji se sastoje od originalnih tekstova izvornog jezika, njihova strojnog i konvencionalnog prijevoda kao referentne točke. Odabrani istraživački pristup koristi se kvalitativnom i kvantitativnom analizom pogrešaka koje su prepoznate u izlaznim podacima strojnog prijevoda s ciljem uvida u trenutačno stanje kvalitete prijevoda na manje istaknutim ili korištenim jezicima na globalnoj razini. Strukturne razlike odabranog jezičnog para dodatno su naglašene razlikom u jezičnim stilovima odabranih tekstova koji su dovedeni u korelaciju s količinom i vrstom pogrešaka izlaznih podataka. Uz statistički prikaz prepoznatih pogrešaka provedena je i lingvistička obrada rezultata s ciljem dublje analize samog jezičnog para i pogrešaka koje su specifične za njega. Na samom kraju rad donosi nedostatke predmetne analize i prijedlog za promjenu pristupa u budućim istraživanjima.
Abstract (english)
This thesis evaluates machine translation provided by online tool Google Translate, on a specific language pair Turkish and Croatian. Analysis started off by building a corpus consisted of source language texts as a base and then their machine translation using online tool Google translate and last but not least, conventional translation texts as a reference point. The research part of the thesis is mainly based on qualitative and quantitative analysis of errors identified in machine translation output for gaining insight into current state of translation quality in less prominent languages used on a global scale. The structural differences between chosen languages are further accentuated by the difference in written style of the selected texts that can be put into correlation with the amount and type of output errors. In addition to the statistical presentation of the identified errors, a linguistic processing of the results was performed with the aim of a deeper analysis of the language pair itself and their characteristical errors. At the very end, the thesis brings the shortcomings of the analysis and a potential proposal for changing the approach in future research.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:131:503041
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 Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) icon
Created on2021-06-23 21:02:48