document-level translation

Samsung R&D Institute Poland submission to WMT20 News Translation Task EMNLP 2020 The ADAPT Centre’s Neural MT Systems for the WAT 2020 Document-Level Translation Task AACL 2020 The University of Tokyo’s Submissions to the WAT 2020 Shared Task AACL 2020 Using Context in Neural Machine Translation Training Objectives ACL 2020 WMT20 Document-Level Markable Error Exploration EMNLP 2020 Analysing concatenation approaches to document-level NMT in two different domains EMNLP 2019 A Test Suite and Manual Evaluation of Document-Level NMT at WMT19 ACL 2019 Big Bidirectional Insertion Representations for Documents EMNLP 2019 Combining Local and Document-Level Context: The LMU Munich Neural Machine Translation System at WMT19 ACL 2019 Context-Aware Monolingual Repair for Neural Machine Translation EMNLP 2019 English-Czech Systems in WMT19: Document-Level Transformer ACL 2019 Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation EMNLP 2019 Monash University’s Submissions to the WNGT 2019 Document Translation Task EMNLP 2019 Naver Labs Europe’s Systems for the Document-Level Generation and Translation Task at WNGT 2019 EMNLP 2019 Selective Attention for Context-aware Neural Machine Translation NAACL 2019 The University of Helsinki Submissions to the WMT19 News Translation Task ACL 2019 UdS-DFKI Participation at WMT 2019: Low-Resource (en-gu) and Coreference-Aware (en-de) Systems ACL 2019 University of Edinburgh’s submission to the Document-level Generation and Translation Shared Task EMNLP 2019 When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion ACL 2019 Context-Aware Neural Machine Translation Learns Anaphora Resolution ACL 2018 Document Context Neural Machine Translation with Memory Networks ACL 2018 Document-Level Neural Machine Translation with Hierarchical Attention Networks EMNLP 2018 Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches COLING 2018 Improving Evaluation of Document-level Machine Translation Quality Estimation EACL 2017