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ELRC-Federal_Foreignv1

Latest releasev1
LicenseopenUnder-PSI

Copyright

Check details at ELRC share
German-Portuguese website parallel corpus from the Federal Foreign Office Berlin (Processed)
ELRC-640-Federal_Foreign_Berlin is a public data set distributed by the https://www.elrc-share.eu
Please acknowledge the original sources and providers of the data and also 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

ELRC-Federal_Foreign's Numbers

LanguagesBitextsFilesTokensSentence fragments
4341.62M85.14k

Downloads

Available resources

This corpus has 3 language pairs, so the resources are listed directly.

Language pairSentencesTokensSampleBilingualMonolingual
German (de) - Brazilian Portuguese (pt-br)v1415de: 6,198pt_br: 7,986View sample
de
pt_br
German (de) - British English (en-gb)v1202,782de: 53,841en_gb: 981,963View sample
de
en_gb
German (de) - French (fr)v111,852de: 209,670fr: 287,571View sample
de
fr

TMX files contain unique translation units. Moses downloads include all non-empty alignment units, including duplicates.

Disclaimer

  • We do not own any of the text from which the data has been extracted.
  • We only offer files that we believe we are free to redistribute. If any doubt occurs about the legality of any of our file downloads we will take them off right away after contacting us.

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:

  • Clearly identify yourself, with detailed contact data such as an address, telephone number or email address at which you can be contacted.
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  • Clearly identify the material that is claimed to be infringing and information reasonably sufficient to allow us to locate the material.
  • And contact the OPUS project at: opus-project at helsinki.fi.

Take down: We will comply to legitimate requests by removing the affected sources from the next release of the corpus.