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News-Commentary

A parallel corpus of News Commentaries provided by WMT for training SMT. The source is taken from CASMACAT: http://www.casmacat.eu/corpus/news-commentary

12 languages, 63 bitexts
total number of files: 126
total number of tokens: 203.21M
total number of sentence fragments: 7.71M

Please cite the following article if you use any part of the corpus in your own work:
J. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)

Download

Below you can download data files for all language pairs in different formats and with different kind of annotation (if available). You can click on the various links as explained below. In addition to the files shown on this webpage, OPUS also provides pre-compiled word alignments and phrase tables, bilingual dictionaries, frequency counts, and these files can be found through the resources search form on the top-level website of OPUS.

Bottom-left triangle: download files
  • ces = sentence alignments in XCES format
  • leftmost column language IDs = tokenized corpus files in XML
  • TMX and plain text files (Moses): see "Statistics" below
  • lower row language IDs = parsed corpus files (if they exist)
Upper-right triangle: sample files
  • view = bilingual XML file samples
  • upper row language IDs = monolingual XML file samples
  • rightmost column language IDs = untokenized corpus files

ar cs de en es fr it ja nl pt ru zh
ar viewviewviewviewviewviewviewviewviewviewviewar
cs ces viewviewviewviewviewviewviewviewviewviewcs
de ces ces viewviewviewviewviewviewviewviewviewde
en ces ces ces viewviewviewviewviewviewviewviewen
es ces ces ces ces viewviewviewviewviewviewviewes
fr ces ces ces ces ces viewviewviewviewviewviewfr
it ces ces ces ces ces ces viewviewviewviewit
ja ces ces ces ces ces ces viewviewja
nl ces ces ces ces ces ces ces viewviewviewnl
pt ces ces ces ces ces ces ces ces viewviewpt
ru ces ces ces ces ces ces ces ces ces ces viewru
zh ces ces ces ces ces ces ces ces ces ces ces zh
ar cs de en es fr it ja nl pt ru zh

Statistics and TMX/Moses Downloads

Number of files, tokens, and sentences per language (including non-parallel ones if they exist)
Number of sentence alignment units per language pair

Upper-right triangle: download translation memory files (TMX)
Bottom-left triangle: download plain text files (MOSES/GIZA++)
Language ID's, first row: monolingual plain text files (tokenized)
Language ID's, first column: monolingual plain text files (untokenized)

language files tokens sentencesar cs de en es fr it ja nl pt ru zh
ar 11 27.7M 1.0M0.1M 0.1M 0.2M 0.2M 0.1M 26.1k 0.6k 9.6k 20.8k 0.1M 47.6k
cs 11 20.0M 0.9M0.1M 0.1M 0.1M 0.1M 0.1M 12.9k 0.6k 6.1k 9.8k 0.1M 29.7k
de 11 28.1M 1.1M0.1M 0.1M 0.2M 0.2M 0.2M 14.1k 0.6k 0.5k 5.7k 0.2M 44.0k
en 11 31.3M 1.2M0.2M 0.1M 0.2M 0.2M 0.2M 18.5k 0.6k 1.8k 7.2k 0.2M 50.5k
es 11 31.7M 1.1M0.2M 0.1M 0.2M 0.2M 0.2M 18.1k 0.6k 3.6k 9.1k 0.2M 41.7k
fr 11 28.2M 1.0M0.1M 0.1M 0.2M 0.2M 0.2M 13.6k 0.5k 0.5k 6.0k 0.1M 42.7k
it 10 3.8M 0.1M26.3k 13.1k 14.1k 18.5k 18.2k 13.6k 4.6k 3.5k 9.6k 3.7k
ja 8 99.8k 4.7k0.6k 0.6k 0.6k 0.6k 0.6k 0.5k 0.6k 0.6k
nl 10 0.9M 33.0k9.8k 6.2k 0.5k 1.8k 3.7k 0.5k 4.7k 3.3k 0.5k 0.9k
pt 10 2.3M 75.9k21.2k 10.0k 5.7k 7.2k 9.2k 6.0k 3.6k 3.4k 3.9k 3.1k
ru 11 24.1M 1.0M0.1M 0.1M 0.2M 0.2M 0.2M 0.1M 9.6k 0.6k 0.5k 3.9k 36.6k
zh 11 4.9M 0.3M47.8k 29.8k 44.1k 50.7k 41.8k 42.7k 3.8k 0.6k 0.9k 3.2k 36.6k

Note that TMX files only contain unique translation units and, therefore, the number of aligned units is smaller than for the distributions in Moses and XML format. Moses downloads include all non-empty alignment units including duplicates. Token counts for each language also include duplicate sentences and documents.


Disclaimer

Notice and take down policy

Notice: Should you consider that our data contains material that is owned by you and should therefore not be reproduced here, please: Take down: We will comply to legitimate requests by removing the affected sources from the next release of the corpus.