Matúš Žilinec — accepted AI-conference papers

2024

Khan Academy Corpus: A Multilingual Corpus of Khan Academy Lectures

Dominika Ďurišková, Daniela Jurášová, Matúš Žilinec, Eduard Šubert, Ondřej Bojar

COLING 2024main

We present the Khan Academy Corpus totalling 10122 hours in 87394 recordings across 29 languages, where 43% of recordings (4252 hours) are equipped with human-written subtitles. The subtitle texts cover a total of 137 languages. The dataset was collected from open access Khan Academy lectures, benef…

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2021

Backtranslation Feedback Improves User Confidence in MT, Not Quality

Vilém Zouhar, Michal Novák, Matúš Žilinec, Ondřej Bojar, Mateo Obregón, Robin L. Hill +4

NAACL 2021long

Translating text into a language unknown to the text’s author, dubbed outbound translation, is a modern need for which the user experience has significant room for improvement, beyond the basic machine translation facility. We demonstrate this by showing three ways in which user confidence in the ou…

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