January 31, 2019 preprint Open access Adding Interpretable Attention to Neural Translation Models Improves Word Alignment arXiv (Cornell University) DOI: 10.48550/arxiv.1901.11359 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 78 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 Automatic Bilingual Markup Transfer 2021 conference-paper Computer Science Natural Language Processing Techniques Open access cited by 1 patent 0 citations End-to-End Neural Word Alignment Outperforms GIZA++ 2020 Annual Meeting of the Association for Computational Linguistics (ACL) conference-paper Computer Science Natural Language Processing Techniques Open access cited by 3 patents 62 citations 2 results References 0