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Autocomplete

  • A simple autocompletion system that uses the Brown University corpus to generate suggestions.

Install Dependencies

  • Install Python 3.7 (add to PATH)
  • Run pip3 install -r requirements.txt
  • Run py -3 download_nltk_packages.py

Setup

  1. Run py -3 create_unigrams.py to process the Brown University corpus.
  2. Run py -3 important_unigrams.py add the most important unigrams to the suggestions.
  3. Run py -3 important_bigrams.py then py -3 important_trigrams.py to do the same for bigrams and trigrams.
  4. Run py -3 create_trie.py to create the trie of suggestions.
  5. Run py -3 predict_text.py to open a tkinter window to try it out.

How to Use

Type in something and press tab to use a suggestion. You might need to type something specific to the Brown University corpus since the variety of documents is limited.

Example

Example

Directories

  • /data Where the processed corpus data is saved
  • /graphs Images of the graphs created by important_unigrams.py, important_bigrams.py, and important_trigrams.py