Skip to content

amish123/transliteration_tensorflow

Repository files navigation

DeepTrans is a character level language model for transliterating English text into Hindi. It is based on the attention mechanism presented in [1] and its implementation in Tensorflow's Sequence to Sequence models. This project has been inspired by the translation model presented in tensorflow's sequence to sequence model. This project comes with a pretrained model (2 layers with 256 units each) for Hindi but can be easily trained over the existing model or from scratch. The pretrained models are trained on lowercase words. If you wish to train your own model then feel free to do whatever you want and I would be glad if you could share your results and models with me. I hope to see interesting results.

Prerequisites

  1. Tensorflow (Version >= 0.9)
  2. Python 2.7

References

  1. Sequence to Sequence Learning with Neural Networks

About

Transliteration of Indian Languages using Tensorflow Sequence to Sequence model

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages