ACKNOWLEDGMENTS.md

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

1. LaBSE

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

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

Heffernan, et al. "Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages"
Findings of the Association for Computational Linguistics: EMNLP 2022.

4. ALTI+

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

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.