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Building Multilingual Machine Translation Systems That Serve Arbitrary XY Translations., , , and . NAACL-HLT, page 600-606. Association for Computational Linguistics, (2022)An Integrated Approach for Arabic-English Named Entity Translation., and . SEMITIC@ACL, page 87-93. Association for Computational Linguistics, (2005)FastFormers: Highly Efficient Transformer Models for Natural Language Understanding., and . SustaiNLP@EMNLP, page 149-158. Association for Computational Linguistics, (2020)A Syntactified Direct Translation Model with Linear-time Decoding., , and . EMNLP, page 1182-1191. ACL, (2009)Improving Multilingual Translation by Representation and Gradient Regularization., , , , , and . EMNLP (1), page 7266-7279. Association for Computational Linguistics, (2021)Language Tokens: Simply Improving Zero-Shot Multi-Aligned Translation in Encoder-Decoder Models., , , , and . AMTA, page 70-82. Association for Machine Translation in the Americas, (2022)Do GPTs Produce Less Literal Translations?, , , and . ACL (2), page 1041-1050. Association for Computational Linguistics, (2023)Social Text Normalization using Contextual Graph Random Walks., and . ACL (1), page 1577-1586. The Association for Computer Linguistics, (2013)Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 13782-13792. PMLR, (2022)Synthetic Data for Neural Machine Translation of Spoken-Dialects., , and . IWSLT, page 82-89. International Workshop on Spoken Language Translation, (2017)