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--- |
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language: |
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- en |
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- fr |
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tags: |
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- seq2seq |
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- translation |
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license: |
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- cc0-1.0 |
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--- |
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## Keras Implementation of Character-level recurrent sequence-to-sequence model |
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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/). |
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Full credits to: [fchollet](https://twitter.com/fchollet) |
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## Background Information |
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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. |
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## Limitations |
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It works on text of length <= 15 characters |
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## Parameters needed for using the model |
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```python |
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latent_dim = 256 |
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num_encoder_tokens = 71 |
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max_encoder_seq_length = 15 |
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num_decoder_tokens = 92 |
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max_decoder_seq_length = 59 |
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``` |
