Academics
Understanding Natural Language Processing strives to elucidate the fundamental principles of natural language processing (NLP) from various angles, encompassing conceptual, mathematical, and algorithmic perspectives, along with practical insights into tools and software usage. The primary emphasis, however, is directed towards prompting readers to contemplate applications in the realm of natural language processing, enabling them to seamlessly integrate NLP components into real-time applications. The concepts are explored through the lens of machine learning and deep learning methodologies, accompanied by relevant use cases threaded throughout the chapters.
T V Geetha is a retired senior professor of Computer Science and Engineering with over 40 years of teaching experience in the areas of artificial intelligence, natural language processing, machine learning, deep learning and information retrieval. She has been instrumental in the formulation and updating of NLP syllabus in many universities. In addition, the Department of Information technology, Government of India requested her group to offer a specialized programme - M.E. CSE (with Specialization in Knowledge Engineering and Computational Linguistics (NLP)). The highlights included the framing of regulations. Syllabus and curriculum with state-of?the-art topics in Knowledge Engineering and NLP including Statistical NLP, Indian Language Processing, Applications of NLP, etc.
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