Edward Loper - Natural language processing with Python
Here you can read online Edward Loper - Natural language processing with Python full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. year: 2009, publisher: OReilly Media, Inc., genre: Home and family. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:
Romance novel
Science fiction
Adventure
Detective
Science
History
Home and family
Prose
Art
Politics
Computer
Non-fiction
Religion
Business
Children
Humor
Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.
- Book:Natural language processing with Python
- Author:
- Publisher:OReilly Media, Inc.
- Genre:
- Year:2009
- Rating:5 / 5
- Favourites:Add to favourites
- Your mark:
Natural language processing with Python: summary, description and annotation
We offer to read an annotation, description, summary or preface (depends on what the author of the book "Natural language processing with Python" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.
Abstract: Offers an 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. This book helps you learn how to write Python programs to work with large collections of unstructured text. Read more...
Edward Loper: author's other books
Who wrote Natural language processing with Python? Find out the surname, the name of the author of the book and a list of all author's works by series.
Natural language processing with Python — read online for free the complete book (whole text) full work
Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "Natural language processing with Python" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.
Font size:
Interval:
Bookmark:
Copyright 2009 Steven Bird, Ewan Klein and Edward Loper
OReilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (.
Nutshell Handbook, the Nutshell Handbook logo, and the OReilly logo are registered trademarks of OReilly Media, Inc. Natural Language Processing with Python , the image of a right whale, and related trade dress are trademarks of OReilly Media, Inc.
Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and OReilly Media, Inc. was aware of a trademark claim, the designations have been printed in caps or initial caps.
While every precaution has been taken in the preparation of this book, the publisher and authors assume no responsibility for errors or omissions, or for damages resulting from the use of the information contained herein.
for more information on this offer!
Please note that upgrade offers are not available from sample content.
This is a book about Natural Language Processing. By natural language we mean a language that is used for everyday communication by humans; languages such as English, Hindi, or Portuguese. In contrast to artificial languages such as programming languages and mathematical notations, natural languages have evolved as they pass from generation to generation, and are hard to pin down with explicit rules. We will take Natural Language Processingor NLP for shortin a wide sense to cover any kind of computer manipulation of natural language. At one extreme, it could be as simple as counting word frequencies to compare different writing styles. At the other extreme, NLP involves understanding complete human utterances, at least to the extent of being able to give useful responses to them.
Technologies based on NLP are becoming increasingly widespread. For example, phones and handheld computers support predictive text and handwriting recognition; web search engines give access to information locked up in unstructured text; machine translation allows us to retrieve texts written in Chinese and read them in Spanish. By providing more natural human-machine interfaces, and more sophisticated access to stored information, language processing has come to play a central role in the multilingual information society.
This book provides a highly accessible introduction to the field of NLP. It can be used for individual study or as the textbook for a course on natural language processing or computational linguistics, or as a supplement to courses in artificial intelligence, text mining, or corpus linguistics. The book is intensely practical, containing hundreds of fully worked examples and graded exercises.
The book is based on the Python programming language together with an open source library called the Natural Language Toolkit (NLTK). NLTK includes extensive software, data, and documentation, all freely downloadable from http://www.nltk.org/. Distributions are provided for Windows, Macintosh, and Unix platforms. We strongly encourage you to download Python and NLTK, and try out the examples and exercises along the way.
NLP is important for scientific, economic, social, and cultural reasons. NLP is experiencing rapid growth as its theories and methods are deployed in a variety of new language technologies. For this reason it is important for a wide range of people to have a working knowledge of NLP. Within industry, this includes people in human-computer interaction, business information analysis, and web software development. Within academia, it includes people in areas from humanities computing and corpus linguistics through to computer science and artificial intelligence. (To many people in academia, NLP is known by the name of Computational Linguistics.)
This book is intended for a diverse range of people who want to learn how to write programs that analyze written language, regardless of previous programming experience:
The early chapters of the book are suitable for readers with no prior knowledge of programming, so long as you arent afraid to tackle new concepts and develop new computing skills. The book is full of examples that you can copy and try for yourself, together with hundreds of graded exercises. If you need a more general introduction to Python, see the list of Python resources at http://docs.python.org/.
New to Python?Experienced programmers can quickly learn enough Python using this book to get immersed in natural language processing. All relevant Python features are carefully explained and exemplified, and you will quickly come to appreciate Pythons suitability for this application area. The language index will help you locate relevant discussions in the book.
Already dreaming in Python?Skim the Python examples and dig into the interesting language analysis material that starts in . Youll soon be applying your skills to this fascinating domain.
This book is a practical introduction to NLP. You will learn by example, write real programs, and grasp the value of being able to test an idea through implementation. If you havent learned already, this book will teach you programming . Unlike other programming books, we provide extensive illustrations and exercises from NLP. The approach we have taken is also principled , in that we cover the theoretical underpinnings and dont shy away from careful linguistic and computational analysis. We have tried to be pragmatic in striking a balance between theory and application, identifying the connections and the tensions. Finally, we recognize that you wont get through this unless it is also pleasurable , so we have tried to include many applications and examples that are interesting and entertaining, and sometimes whimsical.
Note that this book is not a reference work. Its coverage of Python and NLP is selective, and presented in a tutorial style. For reference material, please consult the substantial quantity of searchable resources available at http://python.org/ and http://www.nltk.org/.
This book is not an advanced computer science text. The content ranges from introductory to intermediate, and is directed at readers who want to learn how to analyze text using Python and the Natural Language Toolkit. To learn about advanced algorithms implemented in NLTK, you can examine the Python code linked from http://www.nltk.org/, and consult the other materials cited in this book.
By digging into the material presented here, you will learn:
How simple programs can help you manipulate and analyze language data, and how to write these programs
How key concepts from NLP and linguistics are used to describe and analyze language
How data structures and algorithms are used in NLP
How language data is stored in standard formats, and how data can be used to evaluate the performance of NLP techniques
Depending on your background, and your motivation for being interested in NLP, you will gain different kinds of skills and knowledge from this book, as set out in .
Font size:
Interval:
Bookmark:
Similar books «Natural language processing with Python»
Look at similar books to Natural language processing with Python. We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.
Discussion, reviews of the book Natural language processing with Python and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.