|
--- |
|
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} |
|
} |
|
``` |
|
|
