Python for Natural Language Processing

Pierre Nugues is a professor in the Dept. of Computer Science of Lund University. His research is focused on natural language processing for advanced user interfaces and spoken dialogue. This includes the design and the implementation of conversational agents within a multimodal framework and text visualization. He led the team that designed a navigation agent – Ulysse – that enables a user to navigate in a virtual reality environment using language, and the team that designed the CarSim system that generates animated 3D scenes from written texts. He has taught natural-language processing and computational linguistics at the following institutions: ISMRA, Caen, France; University of Nottingham, UK; Staffordshire University, UK; FH Konstanz, Germany; Lund University, Sweden and Ghent University, Belgium.

• 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.