This repo contains the NLP materials for the 16th edition of the Data Science Master held at KSchool Madrid.
- Introduction to NLP
- Unix Command Line Tools to Process Text
- NLTK: Access to Corpora and Linguistic Resources
- NLTK: Part-of-Speech Tagging
- NLTK: Parsing
- TextBlob: NLP
- spaCy: NLP
- flair: NLP
- Space Vector Models
- Word Embeddings
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Dragomir Radev's Introduction to Natural Language Processing is no longer on Coursera. But here there are some materials.
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Some years ago, Manning & Jurafsky organized a course on NLP at Coursera. There are some slides and videos.
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Programming for Linguists (and fellow travelers) (materiales)
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Dan Jurafsky and James H. Martin. Speech and Language Processing
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Chris Manning and Hinrich Schütze, Foundations of Statistical Natural Language Processing
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Emily Bender. Linguistic Fundamentals for Natural Language Processing: 100 Essentials from Morphology and Syntax
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Jacob Einstein. Natural Language Processing
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Steven Bird, Ewan Klein, and Edward Loper. Natural Language Processing with Python
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Jacob Perkins. Python 3 Text Processing with NLTK 3 Cookbook
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the Beyond Word Embeddings series, especially its Part 2
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PyTorch pre-trained vectors: BERT & OpenAI's GPT Models