How Long to Read Python for Natural Language Processing

How Long Does it Take to Read Python for Natural Language Processing?

It takes the average reader 9 hours and 8 minutes to read Python for Natural Language Processing by Pierre M. Nugues

Assuming a reading speed of 250 words per minute. Learn more

Description

Since the last edition of this book (2014), progress has been astonishing in all areas of Natural Language Processing, with recent achievements in Text Generation that spurred a media interest going beyond the traditional academic circles. Text Processing has meanwhile become a mainstream industrial tool that is used, to various extents, by countless companies. As such, a revision of this book was deemed necessary to catch up with the recent breakthroughs, and the author discusses models and architectures that have been instrumental in the recent progress of Natural Language Processing. As in the first two editions, the intention is to expose the reader to the theories used in Natural Language Processing, and to programming examples that are essential for a deep understanding of the concepts. Although present in the previous two editions, Machine Learning is now even more pregnant, having replaced many of the earlier techniques to process text. Many new techniques build on the availability of text. Using Python notebooks, the reader will be able to load small corpora, format text, apply the models through executing pieces of code, gradually discover the theoretical parts by possibly modifying the code or the parameters, and traverse theories and concrete problems through a constant interaction between the user and the machine. The data sizes and hardware requirements are kept to a reasonable minimum so that a user can see instantly, or at least quickly, the results of most experiments on most machines. The book does not assume a deep knowledge of Python, and an introduction to this language aimed at Text Processing is given in Ch. 2, which will enable the reader to touch all the programming concepts, including NumPy arrays and PyTorch tensors as fundamental structures to represent and process numerical data in Python, or Keras for training Neural Networks to classify texts. Covering topics like Word Segmentation and Part-of-Speech and Sequence Annotation, the textbook also gives an in-depth overview of Transformers (for instance, BERT), Self-Attention and Sequence-to-Sequence Architectures.

How long is Python for Natural Language Processing?

Python for Natural Language Processing by Pierre M. Nugues is 536 pages long, and a total of 137,216 words.

This makes it 181% the length of the average book. It also has 168% more words than the average book.

How Long Does it Take to Read Python for Natural Language Processing Aloud?

The average oral reading speed is 183 words per minute. This means it takes 12 hours and 29 minutes to read Python for Natural Language Processing aloud.

What Reading Level is Python for Natural Language Processing?

Python for Natural Language Processing is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Python for Natural Language Processing?

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