Maarij-Aqeel/Roman_Urdu_predictor

Roman Urdu Word Predictor (LSTM)

This is a simple LSTM-based language model trained to predict the next word in a sentence written in Roman Urdu (Urdu written using the Latin alphabet).

Model Details

• Architecture: 3-layer LSTM
• Embedding Dim: 256
• Hidden Dim: 1024
• Dropout: 0.3
• Framework: PyTorch
• Training Data: Roman Urdu sentences (custom dataset)
• Use Case: Predict the next word as the user types, similar to autocomplete systems.

Github: Github Link