Natural Language Processing with Python (Paperback)

Steven Bird, Ewan Klein, Edward Loper

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商品描述

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.

商品描述(中文翻譯)

這本書提供了一個非常易於理解的自然語言處理入門,該領域支持各種語言技術,從預測文本和郵件過濾到自動摘要和翻譯。通過這本書,您將學習如何編寫與大量非結構化文本一起工作的Python程序。您將使用全面的語言數據結構訪問豐富註釋的數據集,並了解分析書面溝通內容和結構的主要算法。

《自然語言處理與Python》充滿了例子和練習,將幫助您:
- 從非結構化文本中提取信息,無論是猜測主題還是識別“命名實體”
- 分析文本中的語言結構,包括解析和語義分析
- 訪問流行的語言數據庫,包括WordNet和樹庫
- 整合從語言學和人工智能等不同領域獲得的技術

這本書將幫助您使用Python編程語言和自然語言工具包(NLTK)開源庫獲得自然語言處理的實踐技能。如果您有興趣開發Web應用程序、分析多語言新聞來源或記錄瀕危語言,或者只是對以程序員的角度了解人類語言的工作方式感到好奇,您會發現《自然語言處理與Python》既迷人又非常有用。