| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Search the digital library catalog Help

Query: search in
search in
search in
search in
* old and bologna study programme

Options:
  Reset


1 - 4 / 4
First pagePrevious page1Next pageLast page
1.
Action-Based Digital Characterization of a Game Player
Damijan Novak, Domen Verber, Jani Dugonik, Iztok Fister, 2023, original scientific article

Keywords: association rule mining, digital characterization, game agent, game player, real-time strategy games
Published in DKUM: 23.05.2024; Views: 54; Downloads: 4
.pdf Full text (9,40 MB)
This document has many files! More...

2.
Reduction of Neural Machine Translation Failures by Incorporating Statistical Machine Translation
Jani Dugonik, Mirjam Sepesy Maučec, Domen Verber, Janez Brest, 2023, original scientific article

Abstract: This paper proposes a hybrid machine translation (HMT) system that improves the quality of neural machine translation (NMT) by incorporating statistical machine translation (SMT). Therefore, two NMT systems and two SMT systems were built for the Slovenian-English language pair, each for translation in one direction. We used a multilingual language model to embed the source sentence and translations into the same vector space. From each vector, we extracted features based on the distances and similarities calculated between the source sentence and the NMT translation, and between the source sentence and the SMT translation. To select the best possible translation, we used several well-known classifiers to predict which translation system generated a better translation of the source sentence. The proposed method of combining SMT and NMT in the hybrid system is novel. Our framework is language-independent and can be applied to other languages supported by the multilingual language model. Our experiment involved empirical applications. We compared the performance of the classifiers, and the results demonstrate that our proposed HMT system achieved notable improvements in the BLEU score, with an increase of 1.5 points and 10.9 points for both translation directions, respectively.
Keywords: neural machine translation, statistical machine translation, sentence embedding, similarity, classification, hybrid machine translation
Published in DKUM: 20.02.2024; Views: 239; Downloads: 21
.pdf Full text (400,40 KB)
This document has many files! More...

3.
UGLAŠEVANJE PARAMETROV PRI STATISTIČNEM STROJNEM PREVAJANJU
Jani Dugonik, 2013, master's thesis

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
Published in DKUM: 11.07.2013; Views: 2762; Downloads: 197
.pdf Full text (1,28 MB)

4.
JAVASCRIPT OGRODJE GOOGLE WEB TOOLKIT
Jani Dugonik, 2010, bachelor thesis/paper

Abstract: V diplomski nalogi predstavljamo delovanje in osnovne funkcije Javascript ogrodja Google Web Toolkit. Predstavimo tudi nov protokol za delo s klici oddaljenih podprogramov,. delovanje žetonov za podporo zaznavanju zgodovine brskanja in tvorjenju zaznamkov ter podporo večjezičnosti uporabniškega vmesnika spletnih aplikacij. V praktičnem delu smo izdelali spletno aplikacijo, v kateri prikažemo delovanje nekaterih gradnikov, ki jih omogoča ogrodje.
Keywords: JavaScript ogrodje, Java, Google Web Toolkit, GWT, RPC, AJAX
Published in DKUM: 16.03.2011; Views: 2911; Downloads: 215
.pdf Full text (1,85 MB)

Search done in 1.4 sec.
Back to top
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica