Natural Language Processing with Python
by Steven Bird, Ewan Klein, Edward Loper
Publisher: O'Reilly Media 2009
ISBN/ASIN: 0596516495
ISBN-13: 9780596516499
Number of pages: 512
Description:
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.
Download or read it online for free here:
Read online
(online html)
Similar books
How to Make Mistakes in Pythonby Mike Pirnat - O'Reilly Media
Even the best programmers make mistakes, some are simple and silly, others embarrassing and downright costly. In this book, Mike Pirnat dissects some of his most memorable blunders, peeling them back layer-by-layer to reveal just what went wrong.
(3364 views)
Think Python: An Introduction to Software Designby Allen Downey - Green Tea Press
A concise introduction to software design using Python. Intended for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. The goal is to teach you to think like a computer scientist.
(17894 views)
Porting to Python 3: An in-depth guideby Lennart Regebro
Porting to Python 3 doesn't have to be daunting. This book guides you through the process of porting your Python 2 code to Python 3. Using plenty of code examples is takes you cross the hurdles and shows you the new Python features.
(12785 views)
Introduction to Programming using Pythonby K. Schuerer, et al. - Pasteur Institute
This text teaches programming concepts to biologists. It is aimed at people who are not professional computer scientists, but who need a better control of computers for their own research. This course is part of a course in informatics for biology.
(17608 views)