Language And Artificial Intelligence

Artificial Intelligence Techniques in Language Learning

Artificial Intelligence in English Language Education

Artificial Intelligence in English Language Education explores how emerging AI technologies are transforming the teaching and learning of English in hybrid and digital classrooms. This reference book serves as a comprehensive guide for educators, researchers, curriculum designers, and teacher trainers who want to meaningfully integrate AI tools into pedagogical frameworks. Covering topics such as AI-powered writing feedback, intelligent pronunciation apps, hybrid curriculum design, ethical data use, and teacher professional development, the book presents both theoretical foundations and practical strategies. Each chapter is supported by academic references, real-world examples, and critical reflection questions to help educators make informed, ethical, and effective decisions. Written by experts in language education, curriculum development, and AI integration, this book is not just about tools—it’s about transforming teaching in a way that centers learner engagement, autonomy, and equity in an AI-driven era.

The Natural Language for Artificial Intelligence

The Natural Language for Artificial Intelligence presents the biological and logical structure typical of human language in its dynamic mediating process between reality and the human mind. The book explains linguistic functioning in the dynamic process of human cognition when forming meaning. After that, an approach to artificial intelligence (AI) is outlined, which works with a more restricted concept of natural language that leads to flaws and ambiguities. Subsequently, the characteristics of natural language and patterns of how it behaves in different branches of science are revealed to indicate ways to improve the development of AI in specific fields of science. A brief description of the universal structure of language is also presented as an algorithmic model to be followed in the development of AI. Since AI aims to imitate the process of the human mind, the book shows how the cross-fertilization between natural language and AI should be done using the logical-axiomatic structure of natural language adjusted to the logical-mathematical processes of the machine. - Presents a comprehensive approach to natural language and its inherent and complex dynamics - Develops language content as the next frontier, identifying the universal structure of language as a common structure that appears in both AI and cognitive computing - Explains the standard structure present in cognition and AI, making them interchangeable - Offers examples of the application of the universal language model in image analysis and conventional language