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Ranking suggestions for black-box interactive translation prediction systems with multilayer perceptrons., , and . AMTA (1), page 65-78. The Association for Machine Translation in the Americas, (2016)Online Symbolic-Sequence Prediction with Discrete-Time Recurrent Neural Networks., , and . ICANN, volume 2130 of Lecture Notes in Computer Science, page 719-724. Springer, (2001)Open-Source Portuguese-Spanish Machine Translation., , , , , , , , , and . PROPOR, volume 3960 of Lecture Notes in Computer Science, page 50-59. Springer, (2006)Exploiting large pre-trained models for low-resource neural machine translation., , , and . EAMT, page 59-68. European Association for Machine Translation, (2023)Source-Language Dictionaries Help Non-Expert Users to Enlarge Target-Language Dictionaries for Machine Translation., , and . LREC, page 3422-3429. European Language Resources Association (ELRA), (2012)RuLearn: an Open-source Toolkit for the Automatic Inference of Shallow-transfer Rules for Machine Translation., , and . Prague Bull. Math. Linguistics, (2016)An open-source shallow-transfer machine translation engine for the Romance languages of Spain., , , , , , , , and . EAMT, European Association for Machine Translation, (2005)An efficient method to assist non-expert users in extending dictionaries by assigning stems and inflectional paradigms to unknknown words., , , , , and . EAMT, page 19-26. European Association for Machine Translation, (2014)Evaluating machine translation for assimilation via a gap-filling task., , , and . EAMT, European Association for Machine Translation, (2015)Global Under-Resourced Media Translation (GoURMET)., , , , , , , , , and 3 other author(s). MTSummit (2), page 122. European Association for Machine Translation, (2019)