machine translation

Rationales for Sequential Predictions EMNLP 2021 Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation EACL 2021 Recurrent Attention for the Transformer EMNLP 2021 Reference-Free Word- and Sentence-Level Translation Evaluation with Token-Matching Metrics EMNLP 2021 Regressive Ensemble for Machine Translation Quality Evaluation EMNLP 2021 Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation ACL 2021 Reservoir Transformers ACL 2021 Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation NAACL 2021 Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain EMNLP 2021 Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks EACL 2021 Robust Fragment-Based Framework for Cross-lingual Sentence Retrieval EMNLP 2021 Robust Open-Vocabulary Translation from Visual Text Representations EMNLP 2021 Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers ACL 2021 Screening Gender Transfer in Neural Machine Translation EMNLP 2021 Segmenting Subtitles for Correcting ASR Segmentation Errors EACL 2021 Self-Supervised Quality Estimation for Machine Translation EMNLP 2021 Sequence Length is a Domain: Length-based Overfitting in Transformer Models EMNLP 2021 Sequence-to-Lattice Models for Fast Translation EMNLP 2021 Sequence-to-Sequence Learning with Latent Neural Grammars NeurIPS 2021 Sequence-to-Sequence Lexical Normalization with Multilingual Transformers EMNLP 2021 Sesame Street to Mount Sinai: BERT-constrained character-level Moses models for multilingual lexical normalization EMNLP 2021 Should we find another model?: Improving Neural Machine Translation Performance with ONE-Piece Tokenization Method without Model Modification NAACL 2021 SkoltechNLP at SemEval-2021 Task 2: Generating Cross-Lingual Training Data for the Word-in-Context Task SemEval 2021 Small Model and In-Domain Data Are All You Need EMNLP 2021 Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation EMNLP 2021