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

  Autoři

Variš, Dušan

  Identifikátor

http://hdl.handle.net/11234/1-4681

 Datum vydání

2022-03-15

 Typ

toolService

 Jazyky

English , Russian

 Popis

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)

 Nakladatel

Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)

 Sponzoři

European Union

Kód projektu: EC/H2020/823782

Jméno projektu: SSHOC - Social Sciences & Humanities Open Cloud

 Klíčová slova

machine translation neural machine translation transformer

 Kolekce

LINDAT / CLARIAH-CZ Data & Tools

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