Machine-Translation-model

Aims to study and implement Seq2Seq LSTM models for machine translation.
The documentation of this project will be updated here shortly.

Project Timeline

Week 1:

• Literature Review Reading articles and going through papers and tutorials about the implementation of Seq2Seq LSTM models.

Week 2: Dataset and Model implementation

• Looked for the dataset of appropriate size, to provide enough variety, for the training of the model.
• And implemented and trained the model on the data.