January 01, 2019 conference-paper Open access When and Why is Document-level Context Useful in Neural Machine Translation? DOI: 10.18653/v1/d19-6503 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 65 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Improving Long Context Document-Level Machine Translation 2023 conference-paper Computer Science Natural Language Processing Techniques Open access 8 citations Improving Language Model Integration for Neural Machine Translation 2023 conference-paper Computer Science Natural Language Processing Techniques Open access 1 citations On Search Strategies for Document-Level Neural Machine Translation 2023 conference-paper Computer Science Natural Language Processing Techniques Open access 2 citations 3 results References 0