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Start Over Contributor Grantová agentura České republiky@@GAP406/11/1499@@Čeština ve věku strojového překladu@@nationalFunds@@ Creator Zeman, Daniel Harvested from LINDAT/CLARIAH-CZ repository

1. Additional German-Czech reference translations of the WMT'11 test set

Creator:
Bojar, Ondřej, Zeman, Daniel, Dušek, Ondřej, Břečková, Jana, Farkačová, Hana, Grošpic, Pavel, Kačenová, Kristýna, Knechtová, Eva, Koubová, Anna, Lukavská, Jana, Nováková, Petra, and Petrdlíková, Jana
Publisher:
Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:
text and corpus
Subject:
reference translation, German-Czech, and parallel corpus
Language:
German and Czech
Description:
Additional three Czech reference translations of the whole WMT 2011 data set (http://www.statmt.org/wmt11/test.tgz), translated from the German originals. Original segmentation of the WMT 2011 data is preserved. and This project has been sponsored by the grants GAČR P406/11/1499 and EuroMatrixPlus (FP7-ICT-2007-3-231720 of the EU and 7E09003+7E11051 of the Ministry of Education, Youth and Sports of the Czech Republic)
Rights:
Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0), http://creativecommons.org/licenses/by-nc-sa/3.0/, and PUB

2. English-Urdu Religious Parallel Corpus

Creator:
Jawaid, Bushra and Zeman, Daniel
Publisher:
Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:
text and corpus
Subject:
parallel corpus, religious text, and machine translation
Language:
English and Urdu
Description:
English-Urdu parallel corpus is a collection of religious texts (Quran, Bible) in English and Urdu language with sentence alignments. The corpus can be used for experiments with statistical machine translation. Our modifications of crawled data include but are not limited to the following: 1- Manually corrected sentence alignment of the corpora. 2- Our data split (training-development-test) so that our published experiments can be reproduced. 3- Tokenization (optional, but needed to reproduce our experiments). 4- Normalization (optional) of e.g. European vs. Urdu numerals, European vs. Urdu punctuation, removal of Urdu diacritics.
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

3. Many Czech References for 50 Sentences Selected from WMT11 Data

Creator:
Bojar, Ondřej, Macháček, Matouš, Tamchyna, Aleš, and Zeman, Daniel
Publisher:
Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:
text and corpus
Subject:
machine translation, automatic machine translation evaluation, and reference translation
Language:
Czech
Description:
This dataset contains the whole set of very many Czech translations for 50 English source sentences coming from WMT11 test set (http://www.statmt.org/wmt11). In total, there are 15431447 Czech sentences, i.e. 300k reference translations per source English sentence on average, but the exact number greatly varies across sentences. You can find more details in included README file. If you use this dataset, please cite the following paper which describes the technique used to construct the Czech translations: Bojar Ondřej, Macháček Matouš, Tamchyna Aleš, Zeman Daniel: Scratching the Surface of Possible Translations. Lecture Notes in Computer Science, Vol. 8082, Text, Speech and Dialogue: 16th International Conference, TSD 2013. Proceedings, Copyright © Springer Verlag, Berlin / Heidelberg, ISBN 978-3-642-40584-6, ISSN 0302-9743, pp. 465-474, 2013, DOI: 10.1007/978-3-642-40585-3_59 and P406/11/1499 of the Grant Agency of the Czech Republic, FP7-ICT-2011-7-288487 (MosesCore) of the European Union and 1356213 of the Grant Agency of the Charles University
Rights:
Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0), http://creativecommons.org/licenses/by-sa/3.0/, and PUB

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