We first use a sample of 2000 sentences, out of which we use 200 as a development set and the rest as a test set.
the model we propose here, which combines fast_align and k-means clustering using DtW and DBA, outperforms both a very strong naive baseline and a neural attentional model, on three tasks of various sizes.