Natural Language Generation

Presentation Summary

In this presentation, I show a few simple methods for natural language generation, including Markov text generators, n-gram Markov models, and context-free grammar.

Examples

• haiku.py: “Cut-up spoetry” or Haikus randomly generated from mass emails to UIUC engineering graduate students (emails.txt).
• markov.tar: Implementation of a simple Markov text generator and an n-gram Markov text generator to rehash abstracts (abstrats.txt).
• CFG.py: Implementation of a simple context-free grammar to generate grammatically correct sentences from a word bank (words.txt).

All natural language

• by Alina Kononov · Natural Language Generation