Thesis topic proposal
Gábor Prószéky
Machine translation


Institute: Pázmány Péter Catholic University, Budapest
computer sciences
Roska Tamás Doctoral School of Sciences and Technology

Thesis supervisor: Gábor Prószéky
Location of studies (in Hungarian): PPCU FIT
Abbreviation of location of studies: PPKE

Description of the research topic:

Machine translation is one of the most popular and most vivid research areas of language technology. From time to time new approaches arise and promise breakthrough results. However, for Hungarian none of these methods have been able to generate translations that match the quality of machine translation between larger languages. The most recent methods are neural-network-based translations. Related topics are the development of computer-aided translation tools and the automated estimation of translation quality.

Required language skills: English
Recommended language skills (in Hungarian): English
Number of students who can be accepted: 1

Deadline for application: 2020-05-31

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