metadata
tags:
- roman-urdu
- word-prediction
- lstm
- nlp
- language-model
language:
- ur
- en
library_name: pytorch
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.