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Morfessor FlatCat: An HMM-Based Method for Unsupervised and Semi-Supervised Learning of Morphology.

, , , and . COLING, page 1177-1185. ACL, (2014)

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Finnish Language Modeling with Deep Transformer Models., , , and . CoRR, (2020)Hybrid Morphological Segmentation for Phrase-Based Machine Translation., , and . WMT, page 289-295. The Association for Computer Linguistics, (2016)Extending hybrid word-character neural machine translation with multi-task learning of morphological analysis., , and . WMT, page 296-302. Association for Computational Linguistics, (2017)Morfessor EM+Prune: Improved Subword Segmentation with Expectation Maximization and Pruning., , and . LREC, page 3944-3953. European Language Resources Association, (2020)The WMT'18 Morpheval test suites for English-Czech, English-German, English-Finnish and Turkish-English., , , , , , , and . WMT (shared task), page 546-560. Association for Computational Linguistics, (2018)LeBLEU: N-gram-based Translation Evaluation Score for Morphologically Complex Languages., and . WMT@EMNLP, page 411-416. The Association for Computer Linguistics, (2015)Morfessor FlatCat: An HMM-Based Method for Unsupervised and Semi-Supervised Learning of Morphology., , , and . COLING, page 1177-1185. ACL, (2014)Democratizing neural machine translation with OPUS-MT., , , , , , , , , and . Lang. Resour. Evaluation, 58 (2): 713-755 (June 2024)The MeMAD Submission to the IWSLT 2018 Speech Translation Task., , , , and . IWSLT, page 89-94. International Conference on Spoken Language Translation, (2018)MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki., , , , , , , , , and . CoRR, (2024)