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Hands-On Computational Linguistics with Machine Learning is a practical guide for anyone eager to explore the intersection of language, data, and AI.
From the basics of linguistics and classical algorithms to the power of deep learning and large language models, this book takes you step by step through the theory and practice of modern NLP. With clear explanations, hands-on projects, and a balance of ethics and applications, it equips you to:
Understand the core concepts of computational linguistics.
Apply machine learning to tasks like sentiment analysis, summarization, translation, and speech recognition.
Build real-world systems such as chatbots, fake news detectors, and essay scorers.
Explore advanced topics like transformers, multimodal NLP, and low-resource languages.
Tackle ethical challenges of bias, fairness, and responsible AI.
Whether you’re a student, researcher, developer, or curious learner, this book will help you bridge the gap between human language and machine intelligence.
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