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Title:Vključitev jezikovnih tehnologij za slovenski jezik v mobilno aplikacijo
Authors:ID Glažar, Jaša (Author)
ID Verber, Domen (Mentor) More about this mentor... New window
Files:.pdf VS_Glazar_Jasa_2025.pdf (3,10 MB)
MD5: 6DA4AE6E98266860C9C2C1E28FF3538A
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu smo prikazali vključitev jezikovnih tehnologij v mobilno aplikacijo. Opisali smo jezikovne tehnologije ter njihov razvoj in se osredotočili na avtomatsko prepoznavo govora, strojno prevajanje in sintezo govora. Navedli smo metrike, s katerimi se jezikovne tehnologije vrednotijo, in ustvarili delujoč prototip mobilne aplikacije, v katero smo vključili jezikovne tehnologije. Naredili smo primerjavo treh ponudnikov jezikovnih storitev: Microsoft Azure, Google Cloud Platform in Slovenščina.eu. Rezultati so pokazali, da je storitev Slovenščina.eu najučinkovitejša pri avtomatski prepoznavi govora, Microsoft Azure pri strojnem prevajanju, Google Cloud Platform pa je pri skoraj vseh metrikah dosegel zadnjo mesto.
Keywords:jezikovne tehnologije, vrednotenje jezikovnih tehnologij, razvoj mobilne aplikacije
Place of publishing:Maribor
Publisher:[J. Glažar]
Year of publishing:2025
PID:20.500.12556/DKUM-91551 New window
UDC:004.934(043.2)
COBISS.SI-ID:229092355 New window
Publication date in DKUM:03.03.2025
Views:0
Downloads:16
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:14.01.2025

Secondary language

Language:English
Title:Inclusion of language technologies for the Slovenian language in a mobile application
Abstract:In this thesis, we demonstrated the integration of language technologies into a mobile application. We described language technologies and their development, focusing on automatic speech recognition, machine translation, and speech synthesis. We outlined the metrics used to evaluate language technologies and developed a functional prototype of a mobile application incorporating these technologies. Additionally, we compared three providers of language services: Microsoft Azure, Google Cloud Platform, and Slovenščina.eu. The results showed that Slovenščina.eu achieved the best performance in automatic speech recognition, Microsoft Azure excelled in machine translation, while Google Cloud Platform consistently ranked last across almost all metrics.
Keywords:language technologies, evaluation of language technologies, mobile app development


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