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MIT Press - Introduction to Natural Language Processing Book

Amazon

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Description

Master the fundamentals of computational linguistics with this technical textbook from MIT Press. Part of the Adaptive Computation and Machine Learning series, this book provides a comprehensive survey of methods used to understand, generate, and manipulate human language. It bridges the gap between classical algorithms and modern machine learning techniques to give readers a complete technical perspective. The text focuses on contemporary data-driven approaches, specifically covering supervised and unsupervised machine learning. By establishing a strong foundation in machine learning principles in the opening sections, it prepares readers to build software capable of complex language processing tasks. This is an essential resource for anyone studying the intersection of computer science and human communication.

Key Features

This MIT Press textbook offers a technical perspective on building software that understands and generates human language.

The content provides a synthesis of classical representations and algorithms combined with contemporary machine learning techniques.

Readers can study data-driven approaches through a focus on supervised and unsupervised machine learning methods.

The book is part of the professional Adaptive Computation and Machine Learning series for advanced study.

The first section establishes a necessary foundation in machine learning to support complex NLP topics.

Product Specifications

Colour
White
Format
hardcover
Domain
Amazon UK
Release Date
18 October 2019
Listed Since
12 March 2019

Barcode

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