| 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. |
| ``` |
