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Machine Translation: Best Practices using Deep Learning and Generative AI
Machine Translation: Best Practices using Deep Learning and Generative AI
This book provides an in-depth discussion of the evolution of machine translation from rule-based systems to advanced deep learning models and Large Language Models (LLMs). Ideal for researchers, practitioners, and students in NLP and AI, this book bridges theoretical foundations with real-world applications.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| To be released | November 6, 2026 |
| ISBN13 | 9781032972329 |
| Publishers | Taylor & Francis Ltd |
| Pages | 448 |
| Dimensions | 150 × 220 × 20 mm · 453 g |
| Editor | Manohar, Kavya |
| Editor | McCrae, John |
| Editor | Pillai, Leena G |
| Editor | Sherly, Elizabeth |