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ELRA-W0307v1

Latest releasev1
LicensepublicDomain

Copyright

ELRC
ELRA-W0307: ELRC_646_Trilingual Documents related to International Judicial (public data set from https://www.elrc-share.eu)
For more information, please look at https://www.elrc-share.eu) and data set with ID ELRA-W0307. Data Quality Indicators can be seen in this document.
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)

ELRA-W0307's Numbers

LanguagesBitextsFilesTokensSentence fragments
33613.49k2.00k

Downloads

Available resources

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

Language pairSentencesTokensSampleBilingualMonolingual
English (en) - French (fr)v1287en: 2,110fr: 2,247View sample
en
fr
Greek (el) - English (en)v1288el: 2,015en: 2,089View sample
el
en
Greek (el) - French (fr)v1358el: 2,400fr: 2,633View sample
el
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.
  • Clearly identify the copyrighted work claimed to be infringed.
  • 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.