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SciELOv1

Latest releasev1
Parallel corpus of full-text articles in Portuguese, English and Spanish from SciELO Source: https://sites.google.com/view/felipe-soares/datasets A parallel corpus of full-text scientific articles collected from Scielo database in the following languages: English, Portuguese and Spanish. The corpus is sentence aligned for all language pairs, as well as trilingual aligned for a small subset of sentences. Alignment was carried out using the Hunalign algorithm. DOI: https://doi.org/10.6084/m9.figshare.5382757.v2
empty

SciELO's Numbers

LanguagesBitextsFilesTokensSentence fragments
337208.70M7.05M

Downloads

Available resources

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

Language pairSentencesTokensSampleBilingualMonolingual
English (en) - Portuguese (pt)v13,084,830en: 92,800,273pt: 95,358,585View sample
en
pt
English (en) - Spanish (es)v1433,695en: 13,606,057es: 14,725,060View sample
en
es
Spanish (es) - Portuguese (pt)v1255,914es: 8,493,311pt: 8,115,941View sample
es
pt

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.