Original title: Neuronový strojový překlad pro jazykové páry s malým množstvím trénovacích dat
Translated title: Low-Resource Neural Machine Translation
Authors: Filo, Denis ; Fajčík, Martin (referee) ; Jon, Josef (advisor)
Document type: Bachelor's theses
Year: 2020
Language: cze
Publisher: Vysoké učení technické v Brně. Fakulta informačních technologií
Abstract: [cze] [eng]
Táto práca sa zaoberá neurónovým strojovým prekladom pre tzv. low-resource jazyky. Cieľom bolo pomocou experimentov vyhodnotiť súčasné techniky a navrhnúť ich vylepšenia. Prekladové systémy v tejto práci využívali architektúru neurónových sietí transformer a boli natrénované pomocou frameworku Marian. Vybranými jazykovými pármi pre experimenty boli slovenčina s chorvátčinou a slovenčina so srbčinou. V experimentoch boli predmetom skúmania techniky transfer learning a semi-supervised learning. This thesis deals with neural machine translation (NMT) for low-resource languages. The goal was to evaluate current techniques by using the experiments and suggest their improvements. The translation systems in this thesis used the  neural network transformer architecture and were trained by the Marian framework. The selected language pairs were Slovak with Croatian and Slovak with Serbian. The subjects of the experiments were the transfer learning techniques and semi-supervised learning.
Keywords: croatian; low-resource; neural machine translation; semi-supervised learning; slavic languages; slovak; transfer learning; transformer; chorvátčina; low-resource; neurónový strojový preklad; semi-supervised learning; slovanské jazyky; slovenčina; transfer learning; transformer

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/195000

Permalink: http://www.nusl.cz/ntk/nusl-587096


The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Academic theses (ETDs) > Bachelor's theses