![]() ![]() The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The second section introduces structured representations of language, including sequences, trees, and graphs. ![]() The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. This textbook provides a technical perspective on natural language processing-methods for building computer software that understands, generates, and manipulates human language. A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. ![]()
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