Search Results for author: Daria Pylypenko

Found 6 papers, 2 papers with code

DFKI-MLT System Description for the WMT18 Automatic Post-editing Task

no code implementations WS 2018 Daria Pylypenko, Raphael Rubino

This paper presents the Automatic Post-editing (APE) systems submitted by the DFKI-MLT group to the WMT{'}18 APE shared task.

Automatic Post-Editing Translation +1

Leveraging Neural Machine Translation for Word Alignment

no code implementations31 Mar 2021 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.

Machine Translation NMT +3

Explaining Translationese: why are Neural Classifiers Better and what do they Learn?

no code implementations24 Oct 2022 Kwabena Amponsah-Kaakyire, Daria Pylypenko, Josef van Genabith, Cristina España-Bonet

Previous research did not show $(i)$ whether the difference is because of the features, the classifiers or both, and $(ii)$ what the neural classifiers actually learn.

Feature Engineering Representation Learning

Measuring Spurious Correlation in Classification: 'Clever Hans' in Translationese

1 code implementation25 Aug 2023 Angana Borah, Daria Pylypenko, Cristina Espana-Bonet, Josef van Genabith

Translationese signals are subtle (especially for professional translation) and compete with many other signals in the data such as genre, style, author, and, in particular, topic.

Classification

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