Natural Language Processing with Python
Analyzing Text with the Natural Language Tool Kit
(Autor) Steven BirdThis 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.
Steven Bird
Steven Bird is a prominent linguist and computer scientist known for his work in the field of computational linguistics. He has made significant contributions to the development of tools and resources for natural language processing, particularly in the areas of machine translation and speech recognition. Bird is also the author of several influential books on computational linguistics, including "Natural Language Processing with Python" and "Foundations of Computational Linguistics." His work has had a profound impact on the field, shaping the way researchers approach the study of human language and its computational modeling. One of his most famous works, "Natural Language Processing with Python," is widely used as a textbook in universities around the world.