| --- |
| 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: |
| - [UNPC](https://cms.unov.org/UNCorpus) |
| - [GlobalVoices](https://globalvoices.org) |
| - [TED2020](https://www.ted.com/participate/translate) |
| - [News-Commentary](https://opus.nlpl.eu/News-Commentary/corpus/version/News-Commentary) |
| - [WikiMatrix](https://github.com/facebookresearch/LASER/tree/main/tasks/WikiMatrix) |
| - [Tatoeba](https://tatoeba.org/ko/) |
| - [Europarl](http://www.statmt.org/europarl/) |
| - [OpenSubtitles](http://www.opensubtitles.org/) |
|
|
| 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} |
| } |
| ``` |
|
|
