Bộ sách luyện thi ETS 2023 LC&RC
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Sách keo gáy, bìa mềm
Natural Language Processing is the branch of
Artificial Intelligence involving language, be it in spoken or written
modality. Teaching Natural Language Processing (NLP) is difficult
because of its inherent connections with other disciplines, such as
Linguistics, Cognitive Science, Knowledge Representation, Machine
Learning, Data Science, and its latest avatar: Deep Learning. Most
introductory NLP books favor one of these disciplines at the expense of
others. 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.
Categories:Computers - Artificial Intelligence (AI)
Year:2024
Edition:1
Language:english
Pages:543
