MCSQ Translation Models (en-ru) (v1.0)

Variš, Dušan

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Variš, Dušan, 2022, MCSQ Translation Models (en-ru) (v1.0), LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), http://hdl.handle.net/11234/1-4681.

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dc.contributor.author	Variš, Dušan
dc.date.accessioned	2022-03-17T16:24:43Z
dc.date.available	2022-03-17T16:24:43Z
dc.date.issued	2022-03-15
dc.description	En-Ru translation models, exported via TensorFlow Serving, available in the Lindat translation service (https://lindat.mff.cuni.cz/services/translation/). The models were trained using the MCSQ social surveys dataset (available at https://repo.clarino.uib.no/xmlui/bitstream/handle/11509/142/mcsq_v3.zip). Their main use should be in-domain translation of social surveys. 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 MCSQ test set (BLEU): en->ru: 64.3 (train: genuine in-domain MCSQ data) ru->en: 74.7 (train: additional backtranslated in-domain MCSQ data) (Evaluated using multeval: https://github.com/jhclark/multeval)
dc.identifier.uri	http://hdl.handle.net/11234/1-4681
dc.language.iso	eng
dc.language.iso	rus
dc.publisher	Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
dc.relation	info:eu-repo/grantAgreement/EC/H2020/823782
dc.rights	Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.rights.label	PUB
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subject	machine translation
dc.subject	neural machine translation
dc.subject	transformer
dc.title	MCSQ Translation Models (en-ru) (v1.0)
dc.type	toolService
local.branding	LINDAT / CLARIAH-CZ
local.contact.person	Dušan Variš varis@ufal.mff.cuni.cz Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
local.files.count	2
local.files.size	692188529
local.has.files	yes
local.language.name	English
local.language.name	Russian
local.sponsor	euFunds EC/H2020/823782 European Union SSHOC - Social Sciences & Humanities Open Cloud info:eu-repo/grantAgreement/EC/H2020/823782
metashare.ResourceInfo#ContentInfo.detailedType	tool
metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependent	true