This is a proof-of-concept n-gram text predictor. It uses three very simple models for keeping track of words, pairs, and triples, using either in- memory data structures or SQLite database tables.
This project was written by Rick Osborne as part of the Coursera Data Science Specialization capstone course. It is not free software in any sense of the word, and is not licensed for any sort of use, commercial, personal, or otherwise. For copyright purposes, it is owned by Rick Osborne, 2014, and all rights are reserved.