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RNN encoder/decoder model for sequence translation
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examples/grammar-1
keras_additions
visualize
.gitignore
README
helpers.py
higher_activations.py
kvembed.py
log.py
output_dumps.py
translate.py
utils.py

README

This is an implementation of a joint RNN translation model, similar to the models described in the following papers:
- http://arxiv.org/pdf/1409.3215v3.pdf
- http://arxiv.org/pdf/1406.1078.pdf

Documentation and examples coming soon.

Dependencies:
- Python 2.7.6
- Theano 0.7.0 and associated dependencies (numpy)
- Keras (https://github.com/fchollet/keras) - created and tested using commit c61c4ed885ed2b0f4b56b334f2a5c3e9b4fd0b53 . Some portions of this code extend Keras' interface. Newer versions of Keras might work but have not been tested.
- word2vec (https://code.google.com/p/word2vec/) to generate embeddings from text.
- Some visualization scripts use recent versions of matplotlib and scikit-learn.

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