A framework for developing n-gram models for text prediction. It provides data cleaning, data sampling, extracting tokens from text, model generation, model evaluation and word prediction. For information on how n-gram models work we referred to: "Speech and Language Processing" https://web.archive.org/web/20240919222934/https%3A%2F%2Fweb.stanford.edu%2F~jurafsky%2Fslp3%2F3.pdf. For optimizing R code and using R6 classes we referred to "Advanced R" https://adv-r.hadley.nz/r6.html. For writing R extensions we referred to "R Packages", https://r-pkgs.org/index.html.
Maintainer: Nadir Latif pakjiddat@gmail.com (ORCID)