Description

Book Synopsis

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.

Python for Natural Language Processing

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    A Paperback by Pierre M. Nugues

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      Publisher: Springer
      Publication Date: Publication Date: 11/07/2025
      ISBN13: 9783031575518, 978-3031575518
      ISBN10:
      Also in:
      Natural language and machine translation

      Description

      Book Synopsis

      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.

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