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What do Neural Machine Translation Models Learn about Morphology?

, , , , and . ACL (1), page 861-872. Association for Computational Linguistics, (2017)

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Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks., , , , , and . CoRR, (2018)Eyes Don't Lie: Predicting Machine Translation Quality Using Eye Movement., , , , , , and . HLT-NAACL, page 1082-1088. The Association for Computational Linguistics, (2016)An Unsupervised Method for Discovering Lexical Variations in Roman Urdu Informal Text., , , , , and . EMNLP, page 823-828. The Association for Computational Linguistics, (2015)An Efficient CNN and KNN Data Analytics for Electricity Load Forecasting in the Smart Grid., , , , , and . AINA Workshops, volume 927 of Advances in Intelligent Systems and Computing, page 592-603. Springer, (2019)Translating Dialectal Arabic to English., , and . ACL (2), page 1-6. The Association for Computer Linguistics, (2013)QCMUQ$@$QALB-2015 Shared Task: Combining Character level MT and Error-tolerant Finite-State Recognition for Arabic Spelling Correction., , , and . ANLP@ACL, page 144-149. Association for Computational Linguistics, (2015)Statistical Models for Unsupervised, Semi-Supervised, and Supervised Transliteration Mining, , , and . Computational linguistics, 43 (2): 349-375 (2017)Distant Supervision for Tweet Classification Using YouTube Labels., , , and . ICWSM, page 638-641. AAAI Press, (2015)Rapid Classification of Crisis-Related Data on Social Networks using Convolutional Neural Networks., , , , , and . CoRR, (2016)Applications of Online Deep Learning for Crisis Response Using Social Media Information., , , , and . CoRR, (2016)