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Start Over Contributor European Union@@EC/H2020/825303@@Bergamot - Browser-based Multilingual Translation@@euFunds@@info:eu-repo/grantAgreement/EC/H2020/825303 Contributor Ministerstvo školství, mládeže a tělovýchovy České republiky@@LM2018101@@LINDAT/CLARIAH-CZ: Digitální výzkumná infrastruktura pro jazykové technologie, umění a humanitní vědy@@nationalFunds@@ Language Czech Subject multi-modal

1. EMMT (Eyetracked Multi-Modal Translation)

Creator:
Bhattacharya, Sunit, Kloudová, Věra, Zouhar, Vilém, and Bojar, Ondřej
Publisher:
Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:
audio and corpus
Subject:
sight translation and multi-modal
Language:
English and Czech
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.
Rights:
Creative Commons - Attribution 4.0 International (CC BY 4.0), http://creativecommons.org/licenses/by/4.0/, and PUB

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