readme: ---
  language: 
  - en
  - fr
  
  tags:
  - seq2seq
  - translation
   
  license:
  - cc0-1.0
  ---
  
  ## Keras Implementation of Character-level recurrent sequence-to-sequence model
  
  This repo contains the model and the notebook [to this Keras example on Character-level recurrent sequence-to-sequence model](https://keras.io/examples/nlp/lstm_seq2seq/).
  
  Full credits to: [fchollet](https://twitter.com/fchollet)
  
  ## Background Information 
  This example demonstrates how to implement a basic character-level recurrent sequence-to-sequence model. We apply it to translating short English sentences into short French sentences, character-by-character. Note that it is fairly unusual to do character-level machine translation, as word-level models are more common in this domain.
  
  ## Limitations
  It works on text of length <= 15 characters
  
  ## Parameters needed for using the model
  ```python
  latent_dim = 256
  num_encoder_tokens = 71
  max_encoder_seq_length = 15
  num_decoder_tokens = 92
  max_decoder_seq_length = 59
  ```