33 citations · 45 across the 40 of their papers we have counts for
4 papers · 1 filter
Neural Machine Translation Quality and Post-Editing Performance
Vilém Zouhar, Aleš Tamchyna, Martin Popel +1
We test the natural expectation that using MT in professional translation saves human processing time. The last such study was carried out by Sanchez-Torron and Koehn (2016) with p…
Backtranslation Feedback Improves User Confidence in MT, Not Quality
Vilém Zouhar, Michal Novák, Matúš Žilinec +7
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, bey…
Sampling and Filtering of Neural Machine Translation Distillation Data
Vilém Zouhar
In most of neural machine translation distillation or stealing scenarios, the goal is to preserve the performance of the target model (teacher). The highest-scoring hypothesis of t…
Leveraging Neural Machine Translation for Word Alignment
Vilém Zouhar, Daria Pylypenko
The most common tools for word-alignment rely on a large amount of parallel sentences, which are then usually processed according to one of the IBM model algorithms. The training d…