neural machine translation

Rethinking the Value of Transformer Components COLING 2020 [RETRACTED] Look It Up: Bilingual and Monolingual Dictionaries Improve Neural Machine Translation EMNLP 2020 Revisiting Modularized Multilingual NMT to Meet Industrial Demands EMNLP 2020 Revitalization of Indigenous Languages through Pre-processing and Neural Machine Translation: The case of Inuktitut COLING 2020 Robust Neural Machine Translation with ASR Errors ACL 2020 Russian-English Bidirectional Machine Translation System EMNLP 2020 SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection NeurIPS 2020 Samsung R&D Institute Poland submission to WMT20 News Translation Task EMNLP 2020 Score Combination for Improved Parallel Corpus Filtering for Low Resource Conditions EMNLP 2020 Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation ACL 2020 Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation EMNLP 2020 Self-Paced Learning for Neural Machine Translation EMNLP 2020 Self-Supervised Learning for Pairwise Data Refinement AACL 2020 Semantic Structural Decomposition for Neural Machine Translation COLING 2020 Sequence Generation with Mixed Representations ICML 2020 Sequence-Level Mixed Sample Data Augmentation EMNLP 2020 Shallow-to-Deep Training for Neural Machine Translation EMNLP 2020 SIGMORPHON 2020 Task 0 System Description: ETH Zürich Team ACL 2020 Simulated multiple reference training improves low-resource machine translation EMNLP 2020 Simultaneous paraphrasing and translation by fine-tuning Transformer models ACL 2020 Simultaneous Translation and Paraphrase for Language Education ACL 2020 SJTU-NICT’s Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task EMNLP 2020 Speed-optimized, Compact Student Models that Distill Knowledge from a Larger Teacher Model: the UEDIN-CUNI Submission to the WMT 2020 News Translation Task EMNLP 2020 SSN-NLP at SemEval-2020 Task 4: Text Classification and Generation on Common Sense Context Using Neural Networks SemEval 2020 Start-Before-End and End-to-End: Neural Speech Translation by AppTek and RWTH Aachen University ACL 2020