This book explores the application of corpus-based methodologies to the fields of language and speech processing. It details how large collections of text and speech data can be analyzed to develop and improve computational models for understanding and generating human language, covering techniques for data collection, annotation, and statistical analysis relevant to linguistic research and technological development.

The book is likely regarded as a foundational text for researchers and practitioners entering the field of corpus-based language and speech processing. Its focus on methodology suggests it provides a systematic overview of techniques essential for understanding how large datasets inform computational linguistic models. The subject matter indicates a technical and academic audience, likely appreciating the detailed exploration of analytical frameworks and practical applications.