Machine Translation : Best Practices using Deep Learning and Generative AI
Book Details
Format
Hardback or Cased Book
ISBN-10
1032972327
ISBN-13
9781032972329
Publisher
Taylor & Francis Ltd
Imprint
Chapman & Hall/CRC
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Nov 6th, 2026
Print length
448 Pages
Weight
453 grams
Product Classification:
Natural language & machine translationNatural language and machine translationMachine learning
Ksh 36,900.00
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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.
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). This comprehensive guide covers traditional approaches, Statistical Machine Translation (SMT), and the transformative impact of neural networks and transformers. It explores the practical applications of LLMs like GPT, addressing evaluation metrics and ongoing research challenges. Ideal for researchers, practitioners, and students in NLP and AI, this book bridges theoretical foundations with real-world applications, offering valuable insights into the future of machine translation technology to understand the full spectrum of machine translation advancements, from foundational theories to the latest generative AI technologies.
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