Overview
- Offers a first, self-contained course to NLP based on a class taught by the author for over ten years
- Includes supplementary teaching material such as labs, exams or answers to general questions
- Presents a three-fold approach to learning a discipline at the crossroad of Linguistics, Mathematics and AI
- Request lecturer material: sn.pub/lecturer-material
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Table of contents (16 chapters)
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Front Matter
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Mathematical Tools
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Front Matter
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Data Formats
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Front Matter
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Statistical Methods
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Front Matter
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Keywords
About this book
Based on a course on Natural Language Processing taught by the author at IMT Atlantique for over a decade, this textbook considers three points of view corresponding to three different disciplines, while granting equal importance to each of them. As such, the book provides a thorough introduction to the topic following three main threads: the fundamental notions of Linguistics, symbolic Artificial Intelligence methods (based on knowledge representation languages), and statistical methods (involving both legacy machine learning and deep learning tools).
Complementary to this introductory text is teaching material, such as exercises and labs with hints and expected results. Complete solutions with Python code are provided for educators on the SpringerLink webpage of the book. This material can serve for classes given to undergraduate and graduate students, or for researchers, instructors, and professionals in computer science or linguistics who wish to acquire or improve their knowledge in the field. The book is suitable and warmly recommended for self-study.
Authors and Affiliations
About the author
Born in Athens, Greece, Yannis Haralambous studied Mathematics in Lille, France, where he obtained a Ph.D. in Algebraic Topology in 1990. Having meanwhile become a TeX aficionado, he then specialized in Digital Typography and founded the typesetting company Atelier Fluxus Virus, which is specialized in scientific and scholarly documents. In 2001, he became a Full Professor at the Computer Science Department of IMT Atlantique in Brest, France, and his research activities migrated to the disciplines of Text Mining, Controlled Natural Languages, Knowledge Representation, and Grapholinguistics. He has published more than 120 research or scientific popularization papers and a book on Fonts and Encodings (O'Reilly, 2004), has supervised 10 PhDs, teaches courses on NLP, Graph Theory and Logic, and is the organizer of the biennial conference “Grapholinguistics in the 21st Century”.
Bibliographic Information
Book Title: A Course in Natural Language Processing
Authors: Yannis Haralambous
DOI: https://doi.org/10.1007/978-3-031-27226-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-27225-7Published: 31 January 2024
Softcover ISBN: 978-3-031-27228-8Due: 02 March 2024
eBook ISBN: 978-3-031-27226-4Published: 30 January 2024
Edition Number: 1
Number of Pages: XVII, 534
Number of Illustrations: 28 b/w illustrations, 74 illustrations in colour
Topics: Natural Language Processing (NLP), Computational Linguistics, Knowledge based Systems, Data Structures and Information Theory, Artificial Intelligence, Machine Learning