OLAC Record
oai:lindat.mff.cuni.cz:11234/1-4619

Metadata
Title:EMMT (Eyetracked Multi-Modal Translation)
Bibliographic Citation:http://hdl.handle.net/11234/1-4619
Creator:Bhattacharya, Sunit
Kloudová, Věra
Zouhar, Vilém
Bojar, Ondřej
Date (W3CDTF):2022-03-09T15:19:46Z
Date Available:2022-03-09T15:19:46Z
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.
Identifier (URI):http://hdl.handle.net/11234/1-4619
Language:English
Czech
Language (ISO639):eng
ces
Publisher:Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Rights:Creative Commons - Attribution 4.0 International (CC BY 4.0)
http://creativecommons.org/licenses/by/4.0/
Subject:sight translation
multi-modal
Type:corpus
Type (DCMI):Text
Type (OLAC):primary_text

OLAC Info

Archive:  LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University
Description:  http://www.language-archives.org/archive/lindat.mff.cuni.cz
GetRecord:  OAI-PMH request for OLAC format
GetRecord:  Pre-generated XML file

OAI Info

OaiIdentifier:  oai:lindat.mff.cuni.cz:11234/1-4619
DateStamp:  2022-03-09
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Bhattacharya, Sunit; Kloudová, Věra; Zouhar, Vilém; Bojar, Ondřej. 2022. Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL).
Terms: area_Europe country_CZ country_GB dcmi_Text iso639_ces iso639_eng olac_primary_text


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Up-to-date as of: Thu Oct 5 0:43:08 EDT 2023