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iADAATPA Project: Pangeanic use cases.

, , , , and . MTSummit (2), page 114-115. European Association for Machine Translation, (2019)

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Large-scale Machine Translation Evaluation of the iADAATPA Project., , , , , , , , , and 2 other author(s). MTSummit (2), page 179-185. European Association for Machine Translation, (2019)How Much Does Tokenization Affect Neural Machine Translation?, , , , and . CICLing (1), volume 13451 of Lecture Notes in Computer Science, page 545-554. Springer, (2019)Neural Translation for the European Union (NTEU) Project., , , , , , , , , and 4 other author(s). EAMT, page 477-478. European Association for Machine Translation, (2020)The Multilingual Anonymisation Toolkit for Public Administrations (MAPA) Project., , , , , , , , , and 9 other author(s). EAMT, page 471-472. European Association for Machine Translation, (2020)PangeaMT v 3 - customise your own machine translation environment., and . EAMT (Projects/Products), Baltic Journal of Modern Computing, (2016)Europeana Translate: Providing multilingual access to digital cultural heritage., , , , , , , , , and . EAMT, page 297-298. European Association for Machine Translation, (2022)iADAATPA Project: Pangeanic use cases., , , , and . MTSummit (2), page 114-115. European Association for Machine Translation, (2019)Pangeanic in the EXPERT Project: Exploiting Empirical appRoaches to Translation., , , , and . MTSummit (European projects), (2013)Demonstration of a Neural Machine Translation System with Online Learning for Translators., , , , , , , and . ACL (3), page 70-74. Association for Computational Linguistics, (2019)A User Study of the Incremental Learning in NMT., , , , , , , and . EAMT, page 319-328. European Association for Machine Translation, (2020)