N-Gram Language Model (Trigram)

📌 Project Description

This project implements and evaluates a trigram language model using the NLTK Brown corpus. It performs next-word prediction with Laplace smoothing, sentence generation, probability estimation, and perplexity evaluation, demonstrating core concepts in statistical language modelling and NLP.

🧠 Key Features

• Trigram language model implementation
• Laplace smoothing for stable predictions
• Next-word prediction (e.g. "I am → ...")
• Sentence generation
• Probability & perplexity evaluation
• Short story generation using Gemini API

🛠 Technologies

• Python
• NLTK
• Jupyter Notebook
• Brown Corpus

📂 Files

• N-Gram Language Model.ipynb – implementation & experiments
• N-Gram Language Model Report.pdf – analysis & results