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Start Over Contributor Grantová agentura České republiky@@GX20-16819X@@LUSyD – Language Understanding: from Syntax to Discourse@@nationalFunds@@ Subject machine translation Type text

1. FAUST cs-en 0.5

Creator:
Hajič, Jan, Mareček, David, Fučíková, Eva, Cinková, Silvie, Štěpánek, Jan, Mikulová, Marie, and Popel, Martin
Publisher:
Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:
text and corpus
Subject:
noisy texts, parallel corpus, and machine translation
Language:
English and Czech
Description:
This machine translation test set contains 2223 Czech sentences collected within the FAUST project (https://ufal.mff.cuni.cz/grants/faust, http://hdl.handle.net/11234/1-3308). Each original (noisy) sentence was normalized (clean1 and clean2) and translated to English independently by two translators.
Rights:
Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), http://creativecommons.org/licenses/by-nc-sa/4.0/, and PUB