lmthang/nmt.matlab

Code to train Neural Machine Translation systems as described in our EMNLP paper Effective Approaches to Attention-based Neural Machine Translation. Here, we convert train/valid/test files in text format into integer format that can be handled efficiently in Matlab. This trains a very basic model with all the default settings. We set'isResume' to 0 so that it will train a new model each time you run the command instead of loading existing models. Decode with beamSize 2, collect maximum 10 translations, batchSize 1.