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Strojový překlad pomocí umělých neuronových sítí / Machine Translation Using Artificial Neural Networks

The goal of this thesis is to describe and build a system for neural machine translation. System is built with recurrent neural networks - encoder-decoder architecture in particular. The result is a nmt library used to conduct experiments with different model parameters. Results of the experiments are compared with system built with the statistical tool Moses.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:386020
Date January 2018
CreatorsHolcner, Jonáš
ContributorsBeneš, Karel, Szőke, Igor
PublisherVysoké učení technické v Brně. Fakulta informačních technologií
Source SetsCzech ETDs
LanguageCzech
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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