gustavecortal/natural-language-processing
Slides, exercises, and exams for my course "Natural Language Processing" (École Pour l'Informatique et les Techniques Avancées, 2024 and 2025)
This resource provides comprehensive materials for learning about Natural Language Processing (NLP). It takes you from foundational concepts like tokenization and n-grams through modern architectures such as transformers, with practical exercises to build algorithms from scratch. It's designed for engineering students or anyone looking to gain a deep, hands-on understanding of how to process and generate human language using computers.
No commits in the last 6 months.
Use this if you are an engineering student or an aspiring NLP practitioner who wants a structured curriculum to learn the theoretical and practical aspects of Natural Language Processing.
Not ideal if you are looking for a plug-and-play NLP tool or a high-level overview without diving into the underlying algorithmic implementations.
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Jupyter Notebook
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MIT
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Last pushed
Apr 07, 2025
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