Search Results for author: Vilelmini Sosoni

Found 10 papers, 0 papers with code

NoDeeLe: A Novel Deep Learning Schema for Evaluating Neural Machine Translation Systems

no code implementations TRITON 2021 Despoina Mouratidis, Maria Stasimioti, Vilelmini Sosoni, Katia Lida Kermanidis

Due to the wide-spread development of Machine Translation (MT) systems –especially Neural Machine Translation (NMT) systems– MT evaluation, both automatic and human, has become more and more important as it helps us establish how MT systems perform.

Machine Translation Marketing +2

Machine Translation Quality: A comparative evaluation of SMT, NMT and tailored-NMT outputs

no code implementations EAMT 2020 Maria Stasimioti, Vilelmini Sosoni, Katia Kermanidis, Despoina Mouratidis

The present study aims to compare three systems: a generic statistical machine translation (SMT), a generic neural machine translation (NMT) and a tailored-NMT system focusing on the English to Greek language pair.

Machine Translation NMT +1

Enhancing Access to Online Education: Quality Machine Translation of MOOC Content

no code implementations LREC 2016 Valia Kordoni, Antal Van den Bosch, Katia Lida Kermanidis, Vilelmini Sosoni, Kostadin Cholakov, Iris Hendrickx, Matthias Huck, Andy Way

The present work is an overview of the TraMOOC (Translation for Massive Open Online Courses) research and innovation project, a machine translation approach for online educational content.

Machine Translation Sentiment Analysis +1

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