Title: Foundations of statistical natural language processing
First published: 1999
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
Subjects: Natural Language Processing, Natural Language Processing (Computer Science), Statistical methods, Computational linguistics, open_syllabus_project, Computational linguistics--statistical methods, Linguistics--methods, Statistics as topic, Computer-assisted instruction, P98.5.s83 m36 2003, 410/.285, Linguistics, Methods
LC classification: P98.5.S83 M36 1999