SciELO

3 languages, 3 bitexts
total number of files: 7
total number of tokens: 208.70M
total number of sentence fragments: 7.05M

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. 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
If you use this corpus, please cite the following work:

@inproceedings{soares2018large,
  title={A Large Parallel Corpus of Full-Text Scientific Articles},
  author={Soares, Felipe and Moreira, Viviane and Becker, Karin},
  booktitle={Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC-2018)},
  year={2018}
}

Statistics and TMX/Moses Downloads

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)

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

• 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

• 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 the following email address: opus-project at helsinki.fi.