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
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