Detecting Post-Edited References and Their Effect on Human Evaluation

no code implementations • EACL (HumEval) 2021 • Věra Kloudová, Ondřej Bojar, Martin Popel

This paper provides a quick overview of possible methods how to detect that reference translations were actually created by post-editing an MT system.

Evaluating Optimal Reference Translations

1 code implementation • 28 Nov 2023 • Vilém Zouhar, Věra Kloudová, Martin Popel, Ondřej Bojar

The overall translation quality reached by current machine translation (MT) systems for high-resourced language pairs is remarkably good.

Machine Translation Translation

EMMT: A simultaneous eye-tracking, 4-electrode EEG and audio corpus for multi-modal reading and translation scenarios

1 code implementation • 6 Apr 2022 • Sunit Bhattacharya, Věra Kloudová, Vilém Zouhar, Ondřej Bojar

We present the Eyetracked Multi-Modal Translation (EMMT) corpus, a dataset containing monocular eye movement recordings, audio and 4-electrode electroencephalogram (EEG) data of 43 participants.

EEG Sentence +1