1. Arivazhagan, N., Bapna, A., Firat, O., Lepikhin, D., Johnson, M., Krikun, M., Chen, M.X., Cao, Y., Foster, G., Cherry, C., Macherey, W., Chen, Z., & Wu, Y. (2019). Massively multilingual neural machine translation in the wild: Findings and challenges. https://arxiv.org/abs/1907.05019
2. Artetxe, M., & Schwenk, H. (2019). Margin-based parallel corpus mining with multilingual sentence embeddings. In Proceedings of the 57th annual meeting of the Association for Computational Linguistics (pp. 3197–3203). Association for Computational Linguistics. https://aclanthology.org/P19-1309
3. Aulamo, M., Sulubacak, U., Virpioja, S., & Tiedemann, J. (2020). OpusTools and parallel corpus diagnostics. In Proceedings of the 12th language resources and evaluation conference (pp. 3782–3789). European Language Resources Association. https://aclanthology.org/2020.lrec-1.467
4. Aulamo, M., Virpioja, S., & Tiedemann, J. (2020). OpusFilter: A configurable parallel corpus filtering toolbox. In Proceedings of the 58th annual meeting of the Association for Computational Linguistics: System demonstrations (pp. 150–156). Association for Computational Linguistics. https://aclanthology.org/2020.acl-demos.20
5. Behnke, M., Bogoychev, N., Aji, A.F., Heafield, K., Nail, G., Zhu, Q., Tchistiakova, S., van der Linde, J., Chen, P., Kashyap, S., & Grundkiewicz, R. (2021). Efficient machine translation with model pruning and quantization. In Proceedings of the sixth conference on machine translation (pp. 775–780). Association for Computational Linguistics. https://aclanthology.org/2021.wmt-1.74