Introduction to Natural Language Processing

If you are new to natural language processing and are interested in it, you 'd better read a few books in this area to let you know what natural language processing is doing in various fields, it can also cultivate the NLP feeling. The following four books have been read and used during my studies. If you have recommended good books, please add them.

1,Natural Language Processing Overview(Speech and Language Processing: An Introduction to natural language processing, computational linguistics and speech recognition)
The authority of this book is needless to say. The translator is Mr. Feng Zhiwei and Mr. Sun le. When I was reading this book, I didn't know who Mr. Feng was, but I felt very good at reading it, if you have not accumulated many years of strength in this field, it is impossible to translate it smoothly. This book has good comments both at home and abroad. It covers the content of the attention of the two schools of natural language processing (linguistics and statistics), but it also loses some emphasis. From my perspective, this is more in favor of the statistical part. Therefore, the following two books are more suitable for readers who need to understand the natural language processing of statistics. However, the n-gram language model in this book is well written and is a reference for srilm recommendation.

2,Statistical natural language processing Basics(Foundations of statistical natural language processing)
I like this book very much. This book is often used as a reference during the past two years. It may be related to my statistical machine translation. According to the comments on China pub, the translation of this book is poor and I feel that it is okay. Of course, this is a common problem of Chinese translation books: In addition to difficult to translate very good books, another reason is the lag. If e is good enough, read the English version in time. This book provides a good introduction to the basic statistical part. In addition, the N-element syntax is also well described and is also recommended for reading srilm.

3,Statistical Natural Language Processing
This is a monograph published in May this year by Cheng Qing of Beijing Automation Institute. I have the honor to read many chapters in this book earlier. This book is worth reading if you want to know the latest developments in the relevant fields at home and abroad. The last two books have not introduced the latest methods in many fields due to the early Publishing. This book has just been published, and Mr. Zong has a good grasp of the current situation at home and abroad. Therefore, it fully reflects the information in this regard. In addition, this part of statistical machine translation is very detailed, which may be related to the researchers in this field.

4,Computer Natural Language Processing
This is my first book on natural language processing. Compared with the previous books, this book is very thin and can be quickly read. I have forgotten the contents of the book, but I can see the research history and relevant units in this field in China in each chapter. At this time, I found my alma mater hit's super powerful in this field, but it's a pity that I have already left the ice city.

You can read any of these books. You can also read them in a general view. It is no harm to read more books as long as you have time. My own experience is to browse or read an article in a general sense. You can jump over the obscure part first, then, I will take a deep dive into the fields that I am interested in or relevant chapters of the fields to be engaged in. Of course, the books generally begin with several chapters to explain some basic knowledge, it is best to think carefully about this part. If you really want to have a deep understanding of your own research fields, you have to take a good look at the relevant papers in this field.

Zhuo yuewang: Natural Language Processing books
Dangdang: Natural Language Processing books

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