translation quality

Neural Machine Translation Quality and Post-Editing Performance EMNLP 2021 Observing the Learning Curve of NMT Systems With Regard to Linguistic Phenomena ACL 2021 On Compositional Generalization of Neural Machine Translation ACL 2021 On the Stability of System Rankings at WMT EMNLP 2021 Prevent the Language Model from being Overconfident in Neural Machine Translation ACL 2021 Probing Word Translations in the Transformer and Trading Decoder for Encoder Layers NAACL 2021 Smart-Start Decoding for Neural Machine Translation NAACL 2021 Stream-level Latency Evaluation for Simultaneous Machine Translation EMNLP 2021 The Eval4NLP Shared Task on Explainable Quality Estimation: Overview and Results EMNLP 2021 To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation EMNLP 2021 Towards Document-Level Human MT Evaluation: On the Issues of Annotator Agreement, Effort and Misevaluation EACL 2021 Translation-based Supervision for Policy Generation in Simultaneous Neural Machine Translation EMNLP 2021 Understanding Pre-Editing for Black-Box Neural Machine Translation EACL 2021 Understanding the Impact of UGC Specificities on Translation Quality EMNLP 2021 Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation ACL 2021 Vision Matters When It Should: Sanity Checking Multimodal Machine Translation Models EMNLP 2021 Assessing Human-Parity in Machine Translation on the Segment Level EMNLP 2020 Automatic Machine Translation Evaluation using Source Language Inputs and Cross-lingual Language Model ACL 2020 Boosting Neural Machine Translation with Similar Translations ACL 2020 Can Automatic Post-Editing Improve NMT? EMNLP 2020 Evaluating Robustness to Input Perturbations for Neural Machine Translation ACL 2020 Findings of the 2020 Conference on Machine Translation (WMT20) EMNLP 2020 Findings of the WMT 2020 Shared Task on Automatic Post-Editing EMNLP 2020 Fine-grained linguistic evaluation for state-of-the-art Machine Translation EMNLP 2020 It’s not a Non-Issue: Negation as a Source of Error in Machine Translation EMNLP 2020