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Title:Pregled prosto dostopnih strojnih prevajalnikov
Authors:Hari, Daniel (Author)
Sepesy Maučec, Mirjam (Mentor) More about this mentor... New window
Donaj, Gregor (Co-mentor)
Files:.pdf UN_Hari_Daniel_2018.pdf (3,35 MB)
MD5: 8312F4013F58EFA70B1DBD342CE27C2B
 
Language:Slovenian
Work type:Diploma project paper (mb13)
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V projektni nalogi so predstavljene vrste strojnega prevajanja, ki so vgrajene v različne prevajalnike. Ti prevajalniki omogočajo, da se posamezna beseda ali daljše besedilo na podlagi izvedbe določenih algoritmov samodejno prevede iz izvornega jezika v ciljni jezik. Poznamo več načinov strojnega prevajanja, ki jih v nalogi tudi predstavimo. Vsako strojno prevajanje se razlikuje po načinu prevajanja oz. svojih značilnostih, različni načini prevajanja pa imajo tudi določene skupne lastnosti, kot sta sprotno učenje in iskanje dobrih prevodov v slovarjih ali bazah podatkov, ki pripomorejo k bolj natančnemu prevodu same besede oz. besedila. Naloga je sestavljena iz teoretičnega in praktičnega dela. V teoretičnem delu je predstavljen pregled načinov prevajanja, v praktičnem delu pa analiza kakovosti prevajanja posameznih prosto dostopnih prevajalnikov.
Keywords:Strojno prevajanje, strojni prevajalniki, slovarji, korpus, strojno učenje, statistični pristop.
Year of publishing:2018
Publisher:[D. Hari]
Source:Maribor
UDC:621.39
COBISS_ID:22111510 New window
NUK URN:URN:SI:UM:DK:YTNCZODA
Views:645
Downloads:127
Metadata:XML RDF-CHPDL 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:02.08.2018

Secondary language

Language:English
Title:Overview of free machine translation systems
Abstract:The thesis presents the types of machine translation that are built into machine translation systems. These systems enable us to translate a word or a text from the source language into the target language based on some algorithms. We know several ways of machine translation, which we also presented in the project. Each machine translation differs in its own form of translation or its characteristics. However, different systems have also some common attributes such as real-time learning and the search for good translations in dictionaries and databases which contribute to a more acceptable translation of the word or text itself. The project has a theoretical part and a practical part. In the former, we overview machine translation approaches. In the latter, we analyze different translation systems in terms of quality of produced translations.
Keywords:Machine translation, machine translator, dictionary, corpus, machine learning, statistical approach.


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