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Popel, Martin; et al., 2021, CUBBITT Translation Models (en-pl) (v1.0), LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), http://hdl.handle.net/11234/1-3742.
dc.contributor.authorPopel, Martin
dc.contributor.authorTomková, Markéta
dc.contributor.authorTomek, Jakub
dc.contributor.authorKaiser, Łukasz
dc.contributor.authorUszkoreit, Jakob
dc.contributor.authorBojar, Ondřej
dc.contributor.authorŽabokrtský, Zdeněk
dc.date.accessioned2021-07-27T15:34:23Z
dc.date.available2021-07-27T15:34:23Z
dc.date.issued2021-07-22
dc.descriptionCUBBITT En-Pl translation models, exported via TensorFlow Serving, available in the Lindat translation service (https://lindat.mff.cuni.cz/services/translation/). Models are compatible with Tensor2tensor version 1.6.6. For details about the model training (data, model hyper-parameters), please contact the archive maintainer. Evaluation on newstest2020 (BLEU): en->pl: 12.3 pl->en: 20.0 (Evaluated using multeval: https://github.com/jhclark/multeval)
dc.identifier.urihttp://hdl.handle.net/11234/1-3742
dc.language.isoeng
dc.language.isopol
dc.publisherCharles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/645452
dc.relation.isreferencedbyhttps://www.nature.com/articles/s41467-020-18073-9
dc.rightsCreative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.rights.labelPUB
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.source.urihttps://ufal.mff.cuni.cz/cubbitt
dc.subjectmachine translation
dc.subjectneural machine translation
dc.subjecttransformer
dc.subjectcubbitt
dc.titleCUBBITT Translation Models (en-pl) (v1.0)
dc.typetoolService
local.brandingLINDAT / CLARIAH-CZ
local.contact.personMartin Popel popel@ufal.mff.cuni.cz Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
local.demo.urihttps://lindat.mff.cuni.cz/services/translation/
local.files.count2
local.files.size1058888600
local.has.filesyes
local.language.nameEnglish
local.language.namePolish
local.sponsoreuFunds H2020-ICT-2014-1-645452 European Union QT21: Quality Translation 21 info:eu-repo/grantAgreement/EC/H2020/645452
local.sponsornationalFunds 19-26934X Czech Science Foundation Neural Representations in Multi-modal and Multi-lingual Modelling
local.sponsornationalFunds GX20-16819X Grantová agentura České republiky LUSyD – Language Understanding: from Syntax to Discourse
local.sponsornationalFunds LM2018101 Ministerstvo školství, mládeže a tělovýchovy České republiky LINDAT/CLARIAH-CZ: Digitální výzkumná infrastruktura pro jazykové technologie, umění a humanitní vědy
metashare.ResourceInfo#ContentInfo.detailedTypetool
metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependenttrue
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