Python for Natural Language Processing (3rd Edition)

✍ Scribed by Pierre M. Nugues

• Publisher: Springer Nature Switzerland
• Year: 2024
• Tongue: English
• Leaves: 865
• Edition: 3
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Cover
Front Matter
1. An Overview of Language Processing
2. A Tour of Python
3. Corpus Processing Tools
4. Encoding and Annotation Schemes
5. Python for Numerical Computations
6. Topics in Information Theory and Machine Learning
7. Linear and Logistic Regression
8. Neural Networks
9. Counting and Indexing Words
10. Word Sequences
11. Dense Vector Representations
12. Words, Parts of Speech, and Morphology
13. Subword Segmentation
14. Part-of-Speech and Sequence Annotation
15. Self-Attention and Transformers
16. Pretraining an Encoder: The BERT Language Model
17. Sequence-to-Sequence Architectures: Encoder-Decoders and Decoders
Back Matter