# 自然语言处理综述第三版 中文翻译项目

`Speech and Language Processing`是`Dan Jurafsky和James H. Martin`共同编写的NLP书籍，被誉为NLP圣经。

第二版的中文版在京东有售，但是第二版在05年已经出版，时至今日NLP领域已经发生的巨大变化。在18年年底，作者推出了第三版，英文版地址在：<http://web.stanford.edu/~jurafsky/slp3/ed3book.pdf。>

出于学习的目的，和几个小伙伴决定一起来翻译该书籍。

其翻译内容和译者如下：

| 内容                                                                                                                                             | 译者 |
| ---------------------------------------------------------------------------------------------------------------------------------------------- | -- |
| [1.介绍](https://github.com/SpringMagnolia/slp3-chinese/tree/3582d7fa70766963f70e6acb440340eb098ba1ef/markdown/1.介绍)                             | 待定 |
| [2.正则表达式、文本规范化、编辑距离](https://github.com/SpringMagnolia/slp3-chinese/tree/3582d7fa70766963f70e6acb440340eb098ba1ef/markdown/2.正则表达式、文本规范化、编辑距离) | 待定 |
| [3.N-gram语言模型](https://github.com/SpringMagnolia/slp3-chinese/tree/3582d7fa70766963f70e6acb440340eb098ba1ef/markdown/3.N-gram语言模型)             | 待定 |
| [4.朴素贝叶斯和情感分类](https://github.com/SpringMagnolia/slp3-chinese/tree/3582d7fa70766963f70e6acb440340eb098ba1ef/markdown/4.朴素贝叶斯和情感分类)             | 待定 |
| [5.逻辑回归](https://github.com/SpringMagnolia/slp3-chinese/tree/3582d7fa70766963f70e6acb440340eb098ba1ef/markdown/5.逻辑回归)                         | 待定 |
| [6.矢量语义](https://github.com/SpringMagnolia/slp3-chinese/tree/3582d7fa70766963f70e6acb440340eb098ba1ef/markdown/6.矢量语义)                         | 待定 |
| [7.神经网络和神经语言模型](https://github.com/SpringMagnolia/slp3-chinese/tree/3582d7fa70766963f70e6acb440340eb098ba1ef/markdown/7.神经网络和神经语言模型)           | 待定 |
| 未完待续...                                                                                                                                        | 待定 |

如果有翻译错误，请各位看官指出，谢谢。


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://slp3-chinese.gitbook.io/book/master.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
