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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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RNN encoder/decoder model for sequence translation
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