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Text generation

Comparison of text generation systems based on 3 approaches:

  • n-gram Markov Chains
  • bi-directional LSTMs
  • latest Transformer models

Contents:

  • Markov based n-gram (trigram) language model
  • LSTM with Trainable Embeddings model
  • OpenAI's GPT model

How to use:

  • Run all code in jupyter notebook LM_Text_Generation.ipynb

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A look at the evolution of various generation approaches over time

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