This volume links corpus research to classroom practice and critically assesses how the integration of a corpus-informed methodology affects pedagogical choices, teaching materials and classroom activities. Focusing on the language classroom, and drawing on examples from English, French, German and Hungarian, this book demonstrates that such methodology is applicable to languages with very different properties. Drawing on both larger, general and smaller, more specialised corpora, including both spoken and written data, this volume: presents the key features of natural language according to corpus linguistics, establishing principles and methods to observe and practice natural-sounding language use suggests the characteristics of a coherent, corpus-informed methodology and contrasts this with existing methodologies explores ways in which this methodology can enhance language learning and discusses the types of activities that are most effective explains how this methodology be integrated into teacher training Bridging the long-persisting gap between corpus-informed language teaching research and applied classroom reform, this book is key reading for researchers in applied linguistics and language pedagogy, as well as teacher trainers and practitioners.

The rapid advancements in Artificial Intelligence (AI), specifically in Natural Language Processing (NLP) and Generative AI, pose a challenge for academic scholars. Staying current with the latest techniques and applications in these fields is difficult due to their dynamic nature, while the lack of comprehensive resources hinders scholars' ability to effectively utilize these technologies. Advanced Applications of Generative AI and Natural Language Processing Models offers an effective solution to address these challenges. This comprehensive book delves into cutting-edge developments in NLP and Generative AI. It provides insights into the functioning of these technologies, their benefits, and associated challenges. Targeting students, researchers, and professionals in AI, NLP, and computer science, this book serves as a vital reference for deepening knowledge of advanced NLP techniques and staying updated on the latest advancements in generative AI. By providing real-world examples and practical applications, scholars can apply their learnings to solve complex problems across various domains. Embracing Advanced Applications of Generative AI and Natural Language Processing Modelsequips academic scholars with the necessary knowledge and insights to explore innovative applications and unleash the full potential of generative AI and NLP models for effective problem-solving.

This accessible textbook offers balanced and uniformly excellent coverage of modern linguistics.