Multilingual Artificial Intelligence

Multilingual Artificial Intelligence is a guide for non-computer science specialists and learners looking to explore the implementation of AI technologies to solve real-life problems involving language data.

List of contents

List of Figures
List of Tables
Preface
Part One: Fundamentals of multilingual artificial intelligence
Chapter 1: Multilingual AI in a mathematical theory of communication
Chapter 2: Data landscape for multilingual AI
Chapter 3: Basic techniques to achieve artificial intelligence
Chapter 4: Symbolic meaning and vector semantics
Part Two: Large Language models: theories and applications
Chapter 5: Multilingual large language models, fine-tuning, and prompt engineering
Chapter 6: Multilingual and cross-lingual information retrieval
Chapter 7: Augmenting LLM performance with human knowledge
Part Three: Culture and multicultual AI
Chapter 8: Multilingual AI in practice
Chapter 9: Multicultural AI
Chapter 10: Multilingual and multicultural AI-pedagogy, proficiency, policy, and predictions
References
Index

About the author

Peng Wang is an IT analyst and the chair of the Multilingual AI Track. She is the co-author of Machine Learning in Translation.
Pete Smith is Professor of Modern Languages at the University of Texas Arlington, where he also serves as Chief Analytics and Data Officer.

Summary

Multilingual Artificial Intelligence is a guide for non-computer science specialists and learners looking to explore the implementation of AI technologies to solve real-life problems involving language data.

Product details

• Authors: Pete Smith, Samuel (Pete) Smith, Peng Wang, Peng Smith Wang, Wang Peng
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 26.03.2025
• EAN: 9781032747224
• ISBN: 978-1-0-3274722-4
• No. of pages: 164
• Subjects: Humanities, art, music > Linguistics and literary studies > General and comparative linguistics; Artificial Intelligence, LANGUAGE ARTS & DISCIPLINES / Linguistics / General, LANGUAGE ARTS & DISCIPLINES / Translating & Interpreting, Artificial Intelligence (AI), Computational Linguistics, COMPUTERS / Data Science / Machine Learning, Computational and corpus linguistics