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OCR, Classification& Machine Translation (OCCAM)., , , , , , , , and . EAMT, page 481-482. European Association for Machine Translation, (2020)CEFAT4Cities, a Natural Language Layer for the ISA2 Core Public Service Vocabulary., , , , , , , and . EAMT, page 483-484. European Association for Machine Translation, (2020)A Post-Editing Dataset in the Legal Domain: Do we Underestimate Neural Machine Translation Quality?, , , , , , , , and . LREC, page 3692-3697. European Language Resources Association, (2020)Being Generous with Sub-Words towards Small NMT Children., , , , and . LREC, page 3650-3656. European Language Resources Association, (2020)Proceedings of the 21st Annual Conference of the European Association for Machine Translation., , , , , , , and . EAMT, page 1-30. (2018)Collecting domain specific data for MT: an evaluation of the ParaCrawlpipeline., , , , , , , and . MTSummit (2), page 186-195. European Association for Machine Translation, (2019)MICE., , , , , , , , , and 4 other author(s). MTSummit (2), page 116-117. European Association for Machine Translation, (2019)APE-QUEST., , , , , , , , , and 2 other author(s). MTSummit (2), page 110-111. European Association for Machine Translation, (2019)Deep Dive Speech Technology., , , , , , , , , and 5 other author(s). European Language Equality, Springer, (2023)APE-QUEST: an MT Quality Gate., , , and . EAMT, page 473-474. European Association for Machine Translation, (2020)