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Enriching Character-Based Neural Machine Translation with Modern Documents for Achieving an Orthography Consistency in Historical Documents., and . ICIAP Workshops, volume 11808 of Lecture Notes in Computer Science, page 59-69. Springer, (2019)PRHLT's Submission to WLAC 2022., , and . WMT, page 1182-1186. Association for Computational Linguistics, (2022)How Much Does Tokenization Affect Neural Machine Translation?, , , , and . CICLing (1), volume 13451 of Lecture Notes in Computer Science, page 545-554. Springer, (2019)Interactive-Predictive Translation Based on Multiple Word-Segments., , and . EAMT, page 282-291. European Association for Machine Translation, (2016)A Comparison of Character-Based Neural Machine Translations Techniques Applied to Spelling Normalization., and . ICPR Workshops (7), volume 12667 of Lecture Notes in Computer Science, page 326-338. Springer, (2020)An Interactive Machine Translation Framework for Modernizing Historical Documents., and . CoRR, (2019)Two Demonstrations of the Machine Translation Applications to Historical Documents., and . CoRR, (2021)A User Study of the Incremental Learning in NMT., , , , , , , and . EAMT, page 319-328. European Association for Machine Translation, (2020)Segment-based Interactive Machine Translation at a Character Level., , and . EAMT, page 239-248. European Association for Machine Translation, (2023)Demonstration of a Neural Machine Translation System with Online Learning for Translators., , , , , , , and . ACL (3), page 70-74. Association for Computational Linguistics, (2019)