The task aims to find a linear transformation W so that for any source word embedding x, Wx lies close to the embedding y of its translation.
figure 2 presents the sketch of our proposed morphology-aware alignment model, which consists of a learnable linear transformation W and a parameter-fixed denoising evaluator E.  The word-to-word translation is accomplished by linear transformation W. for each word s i in a source sentence , it is translated by retrieving the nearest target word t i based on cosine 1 similarity.