OPUS / README.md
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metadata
task_categories:
  - translation
language:
  - af
  - am
  - ar
  - as
  - az
  - be
  - bg
  - bn
  - br
  - bs
  - ca
  - cs
  - cy
  - da
  - de
  - el
  - en
  - eo
  - es
  - et
  - eu
  - fa
  - fi
  - fr
  - fy
  - ga
  - gd
  - gl
  - ha
  - he
  - hi
  - hr
  - hu
  - hy
  - id
  - is
  - it
  - ja
  - jv
  - ka
  - kk
  - km
  - kn
  - ko
  - ku
  - ky
  - la
  - lo
  - lt
  - mg
  - mk
  - ml
  - mn
  - mr
  - ms
  - my
  - ne
  - nl
  - 'no'
  - om
  - or
  - pa
  - pl
  - ps
  - pt
  - ro
  - ru
  - sa
  - sd
  - si
  - sk
  - sl
  - so
  - sq
  - sr
  - su
  - sv
  - sw
  - ta
  - te
  - th
  - tl
  - tr
  - ug
  - uk
  - ur
  - uz
  - vi
  - xh
  - yi
  - zh

Collection of OPUS

Corpus from https://opus.nlpl.eu has been collected. The following corpora have been included:

25,000 samples (randomly sampled within the first 100,000 samples) per language pair of each corpus were collected, with no modification of data.

Licenses

OPUS

@inproceedings{tiedemann2012parallel,
  title={Parallel data, tools and interfaces in OPUS.},
  author={Tiedemann, J{\"o}rg},
  booktitle={Lrec},
  volume={2012},
  pages={2214--2218},
  year={2012},
  organization={Citeseer}
}

Tatoeba

CC BY 2.0 FR

TED2020

CC BY–NC–ND 4.0

@inproceedings{reimers-2020-multilingual-sentence-bert,
    title = "Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2020",
    publisher = "Association for Computational Linguistics",
    url = "https://arxiv.org/abs/2004.09813",
}

WikiMatrix

CC-BY-SA 4.0
@article{schwenk2019wikimatrix,
  title={Wikimatrix: Mining 135m parallel sentences in 1620 language pairs from wikipedia},
  author={Schwenk, Holger and Chaudhary, Vishrav and Sun, Shuo and Gong, Hongyu and Guzm{\'a}n, Francisco},
  journal={arXiv preprint arXiv:1907.05791},
  year={2019}
}

UNPC

@inproceedings{ziemski2016united,
  title={The united nations parallel corpus v1. 0},
  author={Ziemski, Micha{\l} and Junczys-Dowmunt, Marcin and Pouliquen, Bruno},
  booktitle={Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)},
  pages={3530--3534},
  year={2016}
}