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Transfer learning and subword sampling for asymmetric-resource one-to-many neural translation., , and . Mach. Transl., 34 (4): 251-286 (2020)Democratizing Machine Translation with OPUS-MT., , , , , , , , , and . CoRR, (2022)Extending hybrid word-character neural machine translation with multi-task learning of morphological analysis., , and . WMT, page 296-302. Association for Computational Linguistics, (2017)Hybrid Morphological Segmentation for Phrase-Based Machine Translation., , and . WMT, page 289-295. The Association for Computer Linguistics, (2016)Morfessor EM+Prune: Improved Subword Segmentation with Expectation Maximization and Pruning., , and . LREC, page 3944-3953. European Language Resources Association, (2020)Finnish Language Modeling with Deep Transformer Models., , , and . CoRR, (2020)Isotropy, Clusters, and Classifiers., , and . CoRR, (2024)MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki., , , , , , , , , and . CoRR, (2024)Cognate-aware morphological segmentation for multilingual neural translation., , and . WMT (shared task), page 386-393. Association for Computational Linguistics, (2018)Tuning Phrase-Based Segmented Translation for a Morphologically Complex Target Language., , and . WMT@EMNLP, page 105-111. The Association for Computer Linguistics, (2015)