Foundations of statistical natural language processing

By Christopher D. Manning, Hinrich Schütze

Subjects: Computational linguistics--statistical methods, Statistics as topic, Statistical methods, 410/.285, Computer-assisted instruction, Natural Language Processing, P98.5.s83 m36 2003, Linguistics--methods, Natural Language Processing (Computer Science), open_syllabus_project, Computational linguistics

Description: Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications. - [Source][1] [1]: http://books.google.com/books?id=YiFDxbEX3SUC&source=gbs_ViewAPI