Natural Language Processing

Covers fundamental concepts like language processing, N-gram models, vector semantics, neural networks, and sequence labeling. It includes annotating language structure with parsing techniques, computational semantics, and applications such as machine translation, question answering, and chatbots, as well as generative AI methods for NLP tasks.

Everything filed here

10 resources

Books

2
  • Speech & Language Processing

    Jurafsky | Martin

  • Textbook answers

    Jurafsky | Martin

YouTube Channels

3
  • NLP with DL

    Stanford Online

  • From Lang. to Info.

    AI | ML | DL

  • NLP Playlist

    Ribeiro Miranda

Websites

5
  • NLP TextBook

    Stanford Uni.

  • NLP Specialization

    Coursera

  • NLP Roadmap

    Analytics Vidhya

  • NLP & DL

    Github Repo

  • Foundations of LLM

    Northeastern Uni.

All modules

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