Python for Natural Language Processing: Programming with Numpy, Scikit-Learn, Keras, and Pytorch (Hardcover, 3, Third 2024)

Preface to the third edition.- Preface to the second edition.- Preface to the first edition.- 1. An Overview of Language Processing.- 2. A Tour of Python.- 3. Corpus Processing Tools.- 4. Encoding and Annotation Scheme.- 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. Dense Vector Representations.- 11. Word Sequences.- 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.- Index.- References.