Multilingual Artificial Intelligence

Auteur

Peng Wang is an IT analyst, as well as the chair of the Multilingual AI Track. She is 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.

Texte du rabat

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.

Contenu

List of Tables

List of Figures

Preface

Part One

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

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

Chapter 8: Multilingual AI in Practice

Chapter 9: Multicultural AI

Chapter 10: Multilingual and Multicultural AIPedagogy, Proficiency, Policy, and Predictions

References

Index