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Start Over Contributor European Union@@FP7-ICT-2011-7-288487@@MosesCore@@euFunds@@info:eu-repo/grantAgreement/EC/FP7/288487 Creator Bojar, Ondřej Rights PUB Original context has metadata only false

1. 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

2. Urdu Monolingual Corpus

Creator:
Jawaid, Bushra, Kamran, Amir, and Bojar, Ondřej
Publisher:
Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:
text, corpus, other, and lexicalConceptualResource
Subject:
Urdu, monolingual data, annotated data, and corpus
Language:
Urdu
Description:
We release a sizeable monolingual Urdu corpus automatically tagged with part-of-speech tags. We extend the work of Jawaid and Bojar (2012) who use three different taggers and then apply a voting scheme to disambiguate among the different choices suggested by each tagger. We run this complex ensemble on a large monolingual corpus and release the both plain and tagged corpora. and it is supported by the MosesCore project sponsored by the European Commission’s Seventh Framework Programme (Grant Number 288487).
Rights:
Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0), http://creativecommons.org/licenses/by-nc-sa/3.0/, and PUB