Predicting the Next Word in a Phrase Using R

• Typing long sentences can be slow and inefficient.
• Smart text prediction improves user experience.
• Useful in messaging apps, emails, and AI assistants.

Example:
Input: “I love to drink”
Prediction: “coffee”

• Model: N-gram language model
• Preprocessing: Lowercase, remove punctuation, tokenize
• Prediction Logic:
  • Use the last 1–3 words of the input
  • Look up most probable next word from n-grams
  • Return the word with highest probability

Process Diagram:
Input Phrase → Preprocessing → N-gram Lookup → Predicted Word

How it works: 1. Type a phrase in the input box 2. Press submit 3. See the predicted next word

Example Phrases: - “The stock market is” - “I just finished reading” - “It was a sunny” - “The new movie” - “Data science is”

App Screenshot:

• User Experience: Fast, intuitive, and accurate predictions
• Novelty: Real-time next-word prediction in a simple web interface
• Future Improvements: Context-aware suggestions, larger models, mobile integration
• Pitch: Invest in smarter, faster text prediction technology!