作者简介
I work on computational linguistics, focusing on non-standard language, discourse, computational social science, and machine learning. In July 20 1 9, I joined Google AI as a research scientist. From 2012 to 2019, I was on the faculty at Georgia Tech, where I led the Computational Linguistics lab.
内容简介
A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classic al representations and algorithms with contemporary machine learning techniques.
This textbook provides a technical perspective on natural language processing―methods for building computer soft ware that understands, generates, and manipulates human language. It emphasizes contemporary data- drive n approaches, focusing on techniques from supervised and unsupervised machine learning. 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. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section e xplore s different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: info rmation extra ction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation.
The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After master ing the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field.
I work on computational linguistics, focusing on non-standard language, discourse, computational social science, and machine learning. In July 2019, I joined Google AI as a research scientist. From 2012 to 2019, I was on the faculty at Georgia Tech, where I led the Computational Linguistics lab.
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