February 18, 2023 preprint Open access How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation arXiv (Cornell University) DOI: 10.48550/arxiv.2302.09210 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 5 stored of 193 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 Review of Pym & Hao (2025): How to Augment Language Skills: Generative AI and Machine Translation in Language Learning and Translator Training 2025 Digital Translation article Arts and Humanities Translation Studies and Practices 0 citations Chapter 8. Digital arms for digital consumer harms? 2024 Maastricht University Press eBooks book-chapter Business, Management and Accounting Diverse Legal and Medical Studies Open access 0 citations Bibliography 2024 Maastricht University Press eBooks paratext Decision Sciences scientometrics and bibliometrics research Open access 0 citations Document-Level Language Models for Machine Translation 2023 Conference on Machine Translation (WMT) conference-paper Computer Science Natural Language Processing Techniques Open access 4 citations ChatGPT as a Commenter to the News: Can LLMs Generate Human-Like Opinions? 2023 Lecture notes in computer science conference-paper Computer Science Topic Modeling Open access 5 citations 5 results References 0