Machine Translation

On NMT Search Errors and Model Errors: Cat Got Your Tongue? EMNLP 2019 On the Importance of Word Boundaries in Character-level Neural Machine Translation EMNLP 2019 On the use of BERT for Neural Machine Translation EMNLP 2019 On the Word Alignment from Neural Machine Translation ACL 2019 OpenKiwi: An Open Source Framework for Quality Estimation ACL 2019 Our Neural Machine Translation Systems for WAT 2019 EMNLP 2019 Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine Translation NAACL 2019 Overcoming the Rare Word Problem for low-resource language pairs in Neural Machine Translation EMNLP 2019 Panlingua-KMI MT System for Similar Language Translation Task at WMT 2019 ACL 2019 PARABANK: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-Constrained Neural Machine Translation AAAI 2019 Parallel Corpus Filtering Based on Fuzzy String Matching ACL 2019 Paraphrases as Foreign Languages in Multilingual Neural Machine Translation ACL 2019 Pay Less Attention with Lightweight and Dynamic Convolutions ICLR 2019 Phonetic Normalization for Machine Translation of User Generated Content EMNLP 2019 Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages EMNLP 2019 Poetry to Prose Conversion in Sanskrit as a Linearisation Task: A Case for Low-Resource Languages ACL 2019 Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation Models IJCAI 2019 Posterior Attention Models for Sequence to Sequence Learning ICLR 2019 Pre-trained language model representations for language generation NAACL 2019 Pre-training on high-resource speech recognition improves low-resource speech-to-text translation NAACL 2019 Probing the Need for Visual Context in Multimodal Machine Translation NAACL 2019 PROMT Systems for WMT 2019 Shared Translation Task ACL 2019 Prosodic Phrase Alignment for Machine Dubbing Interspeech 2019 Pushing the Limits of Low-Resource Morphological Inflection EMNLP 2019 Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation ACL 2019