Natural Language Processing in Artificial Intelligence

This book explores natural language processing and artificial intelligence, focusing on communication between humans and computers, advanced applications, cognitive processes, and the challenges of context-dependency in language.

Natural Language Processing in Artificial Intelligence examines the intersection of natural language processing (NLP) and artificial intelligence (AI), along with related fields. The book highlights the significance of NLP in facilitating communication between humans and computers, as well as enabling automatic translation to enhance global interactions. By exploring both theoretical foundations and advanced applications, the text provides a comprehensive overview of how information is represented through language—whether artificial, human, or natural.

The author delves into intelligent natural language processing and the cognitive models that underpin thought processes, reasoning, and mental states. The book addresses complex challenges inherent in natural languages, such as partiality, underspecification, and context-dependency, which are crucial for understanding how information is conveyed in everyday communication. Through this exploration, readers gain insight into the intricate relationship between language and cognition.

Key features of the book include discussions on the latest trends in NLP and AI, as well as the functional frameworks and workflows that are shaping the field. It examines current technologies and the major challenges faced by researchers and practitioners. Additionally, the book presents a case study on data acquisition, illustrating the practical applications of data-intensive technologies in AI and NLP. Overall, Natural Language Processing in Artificial Intelligence serves as a valuable resource for those interested in the evolving landscape of language processing and its implications for real-world applications.