| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:Uglaševanje parametrov pri statističnem strojnem prevajanju
Authors:ID Dugonik, Jani (Author)
ID Brest, Janez (Mentor) More about this mentor... New window
ID Bošković, Borko (Comentor)
Files:.pdf MAG_Dugonik_Jani_2013.pdf (1,28 MB)
MD5: 2FD9F32683B110C0825CB0419D81C67F
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V magistrskem delu se bomo osredotočili na uglaševanje sistema za strojno prevajanje. V okviru tega bomo vzpostavili sistem za strojno prevajanje, ki temelji na statističnih modelih. Omejili se bomo na prevajanje iz slovenščine v angleščino. Rezultate bomo ocenili z metriko BLEU. Pričakujemo, da bo naš pristop primerljiv z ostalimi metodami.
Keywords:strojno prevajanje, statistično strojno prevajanje, jezikovni model, evolucijski algoritem, uteži, uglaševanje, optimizacija
Place of publishing:Maribor
Publisher:[J. Dugonik]
Year of publishing:2013
PID:20.500.12556/DKUM-40979 New window
UDC:004.5:004.93(043.2)
COBISS.SI-ID:17150998 New window
NUK URN:URN:SI:UM:DK:3B1RV9YO
Publication date in DKUM:11.07.2013
Views:2870
Downloads:214
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
:
DUGONIK, Jani, 2013, Uglaševanje parametrov pri statističnem strojnem prevajanju [online]. Master’s thesis. Maribor : J. Dugonik. [Accessed 30 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=40979
Copy citation
  
Average score:
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share


Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Secondary language

Language:English
Title:Tuning parameters in statistical machine translation
Abstract:In this master's thesis, we will focus on tuning the machine translation system. In this context, we will establish the machine translation system based on statistical models. We will confine ourselves to translating from Slovene to English. The results will be evaluated by the BLEU metric. We expect that approach is comparable to other tuning methods.
Keywords:machine translation, statistical machine translation, language model, evolutionary algorithm, weights, tuning, optimization


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica