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Predicting Target Language CCG Supertags Improves Neural Machine Translation., , , , , , and . WMT, page 68-79. Association for Computational Linguistics, (2017)Fast Neural Machine Translation Implementation., , , , and . NMT@ACL, page 116-121. Association for Computational Linguistics, (2018)nEYron: Implementation and Deployment of an MT System for a Large Audit & Consulting Corporation., , , , , , and . EAMT, page 181-187. European Association for Machine Translation, (2022)Marian: Fast Neural Machine Translation in C++., , , , , , , , , and 2 other author(s). ACL (4), page 116-121. Association for Computational Linguistics, (2018)Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer., , , , , and . ICDAR (2), volume 12822 of Lecture Notes in Computer Science, page 732-747. Springer, (2021)Adam Mickiewicz University's English-Hausa Submissions to the WMT 2021 News Translation Task., and . WMT@EMNLP, page 167-171. Association for Computational Linguistics, (2021)Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions., , and . IWSLT, International Workshop on Spoken Language Translation, (2016)The AMU-UEDIN Submission to the WMT16 News Translation Task: Attention-based NMT Models as Feature Functions in Phrase-based SMT., , and . WMT, page 319-325. The Association for Computer Linguistics, (2016)STable: Table Generation Framework for Encoder-Decoder Models., , , , , , , and . EACL (1), page 2454-2472. Association for Computational Linguistics, (2024)From Dataset Recycling to Multi-Property Extraction and Beyond., , , , and . CoNLL, page 641-651. Association for Computational Linguistics, (2020)