用 Python 进行自然语言处理
Natural Language Processing With Python
Edward Loper、Steven Bird、Ewan Klein · 初版 2009 年
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为什么值得读
- 每章配有实例习题，便于快速上手演练
- 结合Python与NLTK提供丰富文本处理示例
- 概念讲解友好，适合自然语言处理入门
本书为Natural Language Processing提供了通俗易懂的入门指引，该领域为预测文本、邮件过滤、自动摘要和机器翻译等各种语言技术奠定了基础。您将学习如何编写Python程序来分析文本的结构与含义，同时汲取来自语言学和人工智能领域的技术方法。
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哇，感谢提到我的博客！我当初入门就是用的《Natural Language Processing with Python》，它基本上就是一本结合 NLTK 的 NLP 入门教材。我特别喜欢它每章都附带练习题，不然的话你很难直观感受到某些具体技术到底该怎么……
Wow, thanks for mentioning my blog! I got into this using "Natural Language Processing with Python", which is basically an intro textbook for NLP that uses NLTK. I particularly like that they include example exercises in each chapter, because it can be otherwise challenging to see how particular techniques…
……Retrieval。如果你想要一本概念类似但数学公式少一点的书，我也挺喜欢 Bruce Croft 等人写的《Search Engine: Information Retrieval in Practice》。如果你恰好是个 Python 程序员，Steven Bird 写的《Natural Language Processing with Python》里有一些非常棒的文本处理示例。
…Retrieval. If you want something with the same concepts but a little less math, I liked Search Engine: Information Retrieval in Practice by Bruce Croft, et al as well. If you happen to be a python programmer, Natural Language Processing with Python by Steven Bird has some great examples of text processing.
……Natural Language Understanding https://github.com/jacobeisenstein/gt-nlp-class * 佐治亚理工的 Deep Learning For NLP in PyTorch https://github.com/rguthrie3/DeepLearningForNLPInPytorch 还有几本书：* 《Natural Language Processing with Python》https://www.amazon.com/Natural-Language-Processing-Python-An... * 《Foundations of Statistical Natural Language Processing》https://www.amazon.com/Foundations-Statistical-Natural-Langu...
…Natural Language Understanding https://github.com/jacobeisenstein/gt-nlp-class * Georgia Tech Deep Learning For NLP in PyTorch https://github.com/rguthrie3/DeepLearningForNLPInPytorch And some books: * Natural Language Processing with Python https://www.amazon.com/Natural-Language-Processing-Python-An... * Foundations of Statistical Natural Language Processing https://www.amazon.com/Foundations-Statistical-Natural-Langu...
……这门课配套的（Processing）。Peter Norvig 的那篇论文《How to write a Spell Corrector》（http://norvig.com/spell-correct.html）非常有帮助。因为我用的是 Python，所以我参考了 Bird、Klein 和 Loper 写的《Natural Language Processing with Python》以及 Python NLTK。最后，我发现阅读各种语音系统自带的文档也超管用。根据你自己的需求调整就行。比如，Alexa……
…Processing) associated with the course. The Peter Norvig paper "How to write a Spell Corrector" (http://norvig.com/spell-correct.html) is very helpful. Since I am working with Python, I use the book "Natural Language Processing with Python" by Bird, Klein, and Loper and the Python NLTK. Finally I find that reading the documentation associated with the various speech systems to be very helpful. Vary to suit your needs. For instance, Alexa…
……Goodfellow、Yoshua Bengio 和 Aaron Courville 著。第 3 阶段：拓宽 AI 各子领域的知识。自然语言处理（NLP）：Daniel Jurafsky 和 James H. Martin 的《Speech and Language Processing》，Steven Bird、Ewan Klein 和 Edward Loper 的《Natural Language Processing with Python》。计算机视觉：Richard Szeliski 的《Computer Vision: Algorithms and Applications》，Adrian Rosebrock 的《Deep Learning for Computer Vision》。强化学习……
…Goodfellow, Yoshua Bengio, and Aaron Courville Stage 3: Expanding Knowledge of AI Subfields Natural Language Processing (NLP): "Speech and Language Processing" by Daniel Jurafsky and James H. Martin "Natural Language Processing with Python" by Steven Bird, Ewan Klein, and Edward Loper Computer Vision: "Computer Vision: Algorithms and Applications" by Richard Szeliski "Deep Learning for Computer Vision" by Adrian Rosebrock Reinforcement…
不确定这是不是你要找的，但 NLTK（natural language toolkit）很棒。http://www.nltk.org/ 入门：http://nltk.googlecode.com/svn/trunk/doc/howto/index.html FAQ：http://www.nltk.org/faq NLTK 书（免费在线）：http://www.nltk.org/book NLTK 书第 7 章 从文本中提取信息：http://nltk.googlecode.com/svn/trunk/doc/book/ch07.html
Not sure if this is what you're looking for, but NLTK [natural language toolkit] is great. http://www.nltk.org/ Getting Started: http://nltk.googlecode.com/svn/trunk/doc/howto/index.html FAQ: http://www.nltk.org/faq The NLTK Book (free online): http://www.nltk.org/book NLTK Book Chapter 7 Extraction Information from Text: http://nltk.googlecode.com/svn/trunk/doc/book/ch07.html