Overview

Computational Linguistics with Python is an in-depth, hands-on guide designed specifically for linguists, digital humanists, language researchers, and AI practitioners seeking to bridge the gap between theoretical linguistics and practical programming. With a clear narrative style and practical coding exercises, the book explores how Python can be harnessed to analyze, process, and model human language at scale. The book begins with foundational concepts in linguistics and Python programming, making it accessible to readers from non-technical backgrounds. As it progresses, it delves into critical areas such as corpus linguistics, morphological analysis, part-of-speech tagging, syntactic parsing, semantic modeling, named entity recognition, and dialogue systems. It also explores cutting-edge topics such as language models, transformers, and conversational AI-all with real-world implementations. Written in a uniquely structured third-person narrative, this book avoids dry exposition and instead guides readers through concrete examples, project-based learning, and linguistically relevant problems. Each chapter is designed to provide not only theoretical grounding but also usable code in Python using powerful libraries like NLTK, spaCy, scikit-learn, and Hugging Face Transformers. Whether you're a linguist seeking to automate language research, a student entering NLP, or a developer aiming to deepen your understanding of language technologies, Computational Linguistics with Python provides the toolkit, mindset, and practical knowledge to succeed.

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