Natural language processing with Python : [analyzing text with the natural language toolkit

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. 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; and, 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 The series builds an extensive collection of high quality descriptions of languages around the world. Each volume offers a comprehensive grammatical description of a single language together with fully analyzed sample texts and, if appropriate, a word list and other relevant information which is available on the language in question. There are no restrictions as to language family or area, and although special attention is paid to hitherto undescribed languages, new and valuable treatments of better known languages are also included. No theoretical model is imposed on the authors; the only criterion is a high standard of scientific quality. To discuss your book idea or submit a proposal, please contact Birgit Sievert. 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. You’ll learn how to write Python programs to analyze the structure and meaning of texts, drawing on techniques from the fields of linguistics and artificial intelligence. COMPUTERS / Programming Languages / Python This Is An Introduction To Natural Language Processing, Which Supports A Variety Of Language Technologies, From Predictive Text And Email Filtering To Automatic Summarization And Translation. Steven Bird, Ewan Klein, And Edward Loper. Analyzing Text With The Natural Language Toolkit--cover. Includes Bibliographical References (p. 449-458) And Indexes. Kayardild-English dictionary with parts of speech sentence examples of use; English-Kayardild finder list; thesaurus in semantic fields, explanation of kinship terms; includes information on botanical and zoological species Nicholas D. Evans. Substantially Revised Version Of The Author's Thesis (ph.d., Australian National University, 1985). Includes Bibliographical References (p. [801]-819) And Indexes. Nicholas Evans ; With Illustrations By Penny Johnson And Marbuk Kohler And Incorporating Yangkaal Materials Recorded By Ken Hale.