This book offers a highly accessible introduction to natural language processing the field
that supports a variety of language technologies from predictive text and email filtering to
automatic summarization and translation. With it you'll learn how to write Python programs
that work with large collections of unstructured text. You'll access richly annotated datasets
using a comprehensive range of linguistic data structures and you'll understand the main
algorithms for analyzing the content and structure of written communication. Packed with
examples and exercises Natural Language Processing with Python will help you: - Extract
information from unstructured text either to guess the topic or identify named entities -
Analyze linguistic structure in text including parsing and semantic analysis - Access popular
linguistic databases including WordNet and treebanks - Integrate techniques drawn from fields
as diverse as linguistics and artificial intelligence This book will help you gain practical
skills in natural language processing using the Python programming language and the Natural
Language Toolkit (NLTK) open source library. If you're interested in developing web
applications analyzing multilingual news sources or documenting endangered languages -- or if
you're simply curious to have a programmer's perspective on how human language works -- you'll
find Natural Language Processing with Python both fascinating and immensely useful.BR > Packed
with examples and exercises Natural Language Processing with Python will help you: - Extract
information from unstructured text either to guess the topic or identify named entities -
Analyze linguistic structure in text including parsing and semantic analysis - Access popular
linguistic databases including WordNet and treebanks - Integrate techniques drawn from fields
as diverse as
