Apologies for cross-postings.

Book announcement: Python for Natural Language Processing By Pierre Nugues

This book is available from Springer https://link.springer.com/book/10.1007/978-3-031-57549-5 and the notebooks from GitHub: https://github.com/pnugues/pnlp

Contents: An Overview of Language Processing A Tour of Python Corpus Processing Tools Encoding and Annotation Schemes Python for Numerical Computations Topics in Information Theory and Machine Learning Linear and Logistic Regression Neural Networks Counting and Indexing Words Word Sequences Dense Vector Representations Words, Parts of Speech, and Morphology Subword Segmentation Part-of-Speech and Sequence Annotation Self-Attention and Transformers Pretraining an Encoder: The BERT Language Model Sequence-to-Sequence Architectures: Encoder-Decoders and Decoders