EMMT (Eyetracked Multi-Modal Translation)
Please use the following text to cite this item or export to a predefined format:
Bhattacharya, Sunit; Kloudová, Věra; Zouhar, Vilém and Bojar, Ondřej, 2022,
EMMT (Eyetracked Multi-Modal Translation), LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL),
http://hdl.handle.net/11234/1-4619.
Authors
Item identifier
Date issued
2022-01-05
Description
Eyetracked Multi-Modal Translation (EMMT) is a simultaneous eye-tracking, 4-electrode EEG and audio corpus for multi-modal reading and translation scenarios. It contains monocular eye movement recordings, audio data and 4-electrode wearable electroencephalogram (EEG) data of 43 participants while engaged in sight translation supported by an image.
The details about the experiment and the dataset can be found in the README file.
Acknowledgement
Czech Science Foundation
Project code:19-26934X
Project name:Neural Representations in Multi-modal and Multi-lingual Modelling
European Union
Project code:EC/H2020/825303
Project name:Bergamot - Browser-based Multilingual Translation
Ministerstvo školství, mládeže a tělovýchovy České republiky
Project code:LM2018101
Project name:LINDAT/CLARIAH-CZ: Digitální výzkumná infrastruktura pro jazykové technologie, umění a humanitní vědy
Subject(s)
Collections
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- EMMT_Release_version_1.0.zip
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