| dc.contributor.author | Bhattacharya, Sunit |
| dc.contributor.author | Kloudová, Věra |
| dc.contributor.author | Zouhar, Vilém |
| dc.contributor.author | Bojar, Ondřej |
| dc.date.accessioned | 2022-03-09T15:19:46Z |
| dc.date.available | 2022-03-09T15:19:46Z |
| dc.date.issued | 2022-01-05 |
| dc.identifier.uri | http://hdl.handle.net/11234/1-4619 |
| dc.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. |
| dc.language.iso | eng |
| dc.language.iso | ces |
| dc.publisher | Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL) |
| dc.relation | info:eu-repo/grantAgreement/EC/H2020/825303 |
| dc.rights | Creative Commons - Attribution 4.0 International (CC BY 4.0) |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ |
| dc.source.uri | https://ufal.mff.cuni.cz/eyetracked-multi-modal-translation |
| dc.subject | sight translation |
| dc.subject | multi-modal |
| dc.title | EMMT (Eyetracked Multi-Modal Translation) |
| dc.type | corpus |
| metashare.ResourceInfo#ContentInfo.mediaType | audio |
| dc.rights.label | PUB |
| has.files | yes |
| branding | LINDAT / CLARIAH-CZ |
| contact.person | Sunit Bhattacharya bhattacharya@ufal.mff.cuni.cz Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL) |
| contact.person | Ondřej Bojar bojar@ufal.mff.cuni.cz Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL) |
| sponsor | Czech Science Foundation 19-26934X Neural Representations in Multi-modal and Multi-lingual Modelling nationalFunds |
| sponsor | European Union EC/H2020/825303 Bergamot - Browser-based Multilingual Translation euFunds info:eu-repo/grantAgreement/EC/H2020/825303 |
| sponsor | Ministerstvo školství, mládeže a tělovýchovy České republiky LM2018101 LINDAT/CLARIAH-CZ: Digitální výzkumná infrastruktura pro jazykové technologie, umění a humanitní vědy nationalFunds |
| files.size | 1120477891 |
| files.count | 1 |
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- Name
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- Size
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- Format
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- Description
- EMMT dataset
- MD5
- 1cd91d97d1e94f65cf2f49d6bc6f711b
- EMMT_Release_version_1.0
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