Steven Bird是墨尔本大学计算机科学和软件工程系副教授，以及宾夕法尼亚大学语言数据联合会高级研究助理。

克莱因是爱丁堡大学信息学院语言技术教授。

洛普最近从宾夕法尼亚大学获得机器学习自然语言处理博士学位，目前是波士顿BBN Technologies公司的研究员。

This book offers a highly accessible introduction to Natural Language Processing, the field that underpins a variety of language technologies, ranging from predictive text and email filtering to automatic summarization and translation. With Natural Language Processing with Python, you'll learn how to write Python programs to 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, 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

Perfect for individual study, or as a classroom and workshop textbook, 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, documenting endangered languages, or if you are simply curious to have a programmer's perspective on how human language works, you will find Natural Language Processing with Python both fascinating and immensely useful.