The released datasets in this repository used the following models/code for data sampling and filtering.

1. [LaBSE](https://github.com/bojone/labse?tab=readme-ov-file)
```
Feng, et al. "Language-agnostic BERT Sentence Embedding"
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
```
2. [COMET](https://github.com/Unbabel/COMET)
```
Rei, et al. "Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task"
Proceedings of the Sixth Conference on Machine Translation.
```
3. [LASER2](https://github.com/facebookresearch/LASER)
```
Heffernan, et al. "Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages"
Findings of the Association for Computational Linguistics: EMNLP 2022.
```
4. [ALTI+](https://github.com/mt-upc/transformer-contributions-nmt)
```
Ferrando, et al. "Towards Opening the Black Box of Neural Machine Translation: Source and Target Interpretations of the Transformer"
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing.
```
5. [fastText](https://github.com/facebookresearch/fastText)
```
Joulin, et al. "FastText.zip: Compressing text classification models"
arXiv preprint arXiv:1612.03651.
Joulin, et al. "Bag of Tricks for Efficient Text Classification"
Proceedings of the 15th Conference of the {E}uropean Chapter of the Association for Computational Linguistics: Volume 2, Short Papers.
```