Author: Mahavir Rajpurohit
Date: 2026-01-13

Problem
Typing content takes time. Predicting the next word can improve writing speed.

Goal
Build a Shiny app that predicts the next word using an n-gram language model.

Approach - Build a text corpus - Tokenize text into bigrams (two-word sequences) - Count bigram frequencies - Extract last word from user input - Predict the most frequent next word

Tools Used - R (tidyverse, tidytext) - Shiny

• Text input box for phrase
• Button to trigger prediction
• Displays single predicted next word

Input