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master's thesis
Testing the efficiency of voice recognition software in translation
2019. urn:nbn:hr:142:389684
Pernarčić, Marko
Josip Juraj Strossmayer University of Osijek
Faculty of Humanities and Social Sciences
Department of English Language and Literature

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Pernarčić, M. (2019). Testing the efficiency of voice recognition software in translation (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Humanities and Social Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:142:389684

Pernarčić, Marko. "Testing the efficiency of voice recognition software in translation." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Humanities and Social Sciences, 2019. https://urn.nsk.hr/urn:nbn:hr:142:389684

Pernarčić, Marko. "Testing the efficiency of voice recognition software in translation." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Humanities and Social Sciences, 2019. https://urn.nsk.hr/urn:nbn:hr:142:389684

Pernarčić, M. (2019). 'Testing the efficiency of voice recognition software in translation', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Humanities and Social Sciences, accessed 07 December 2024, https://urn.nsk.hr/urn:nbn:hr:142:389684

Pernarčić M. Testing the efficiency of voice recognition software in translation [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Humanities and Social Sciences; 2019 [cited 2024 December 07] Available at: https://urn.nsk.hr/urn:nbn:hr:142:389684

M. Pernarčić, "Testing the efficiency of voice recognition software in translation", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Humanities and Social Sciences, Osijek, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:142:389684

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Metadata
TitleTesting the efficiency of voice recognition software in translation
Title (croatian)Ispitivanje učinkovitosti alata za prepoznavanje govora u procesu prevođenja
AuthorMarko Pernarčić
MentorMarija Omazić (mentor)
Committee memberGoran Schmidt (predsjednik povjerenstva)
Committee memberMarija Omazić (član povjerenstva)
Committee memberDubravka Vidaković Erdeljić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Humanities and Social Sciences
(Department of English Language and Literature)
Osijek
Defense date and country2019-09-27, Croatia
Scientific / art field,
discipline and subdiscipline		HUMANISTIC SCIENCES
Philology
Anglistics
Abstract
Today, the translation service industry and the speech technology industry are both in significant growth, showing no indication of stopping in the near future. Speech recognition technology is slowly becoming integrated in Computer Assisted Translation (CAT) tools, which has the potential to increase productivity of the translation process. The aim of this paper is to determine whether speech recognition is a more efficient input method than typing in the translation process—assessing primarily speed and accuracy. Additionally, the goal was to establish the level of adequacy of the integration of speech recognition technology with CAT tools in its current instance. The research consisted of tests through which the respondents were tested for their typing, dictating, and translating abilities, along with speed. Two independent evaluators assessed the translations, ultimately using the average of scores and grades. We have established a sizable number of metrics and used three different nonparametric tests in order to test the hypotheses for 8 research questions. Based on the results obtained, we have provided a foundation for improving the translation process.
Abstract (croatian)
Prevoditeljska je industrija, uz industriju govornih tehnologija, trenutno u značajnom rastu i obje ne pokazuju naznake zaustavljanja u skoroj budućnosti. Tehnologija prepoznavanja govora polako se uvodi u alate za računalno potpomognuto prevođenje, što sadrži potencijal za unapređenje produktivnosti pri procesu prevođenja. Cilj ovog rada je ustanoviti je li je prepoznavanje govora efikasnija metoda unosa od korištenja tipkovnice kod prevođenja, pri čemu su se u obzir primarno uzimala brzina i točnost. Nadalje, nastojala se procijeniti adekvatnost integracije tehnologije prepoznavanja govora u alate za računalno potpomognuto prevođenje, u svojem trenutnom izdanju. Istraživanje se sastojalo od testova putem kojih se se provjeravala sposobnost i brzina tipkanja, diktiranja i prevođenja kod ispitanika. Dva neovisna ocjenjivača ocjenjivala su prijevode, te se koristio prosjek njihovih bodova i ocjena. Odredili smo veći broj parametara te koristili tri različita neparametrijska testa kako bi ispitali hipoteze kroz 8 istraživačkih pitanja. Prikupljeni rezultati poslužili su kao temelj za buduće unapređenje procesa prevođenja.
Keywords
Keywords (croatian)
Languagecroatian
URN:NBNurn:nbn:hr:142:389684
Study programmeTitle: English Language and Literature (double major); specializations in: Teacher Training, Translation and Interpreting Studies, Philology
Course: Philology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra engleskog jezika i književnosti (magistar/magistra engleskog jezika i književnosti)
Study programmeTitle: Publishing Studies (double major)
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra nakladništva (magistar/magistra nakladništva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-01-14 16:42:54