Example 11 shows the advantage of combining the vector representation with orthographic distance, i.e., our model could find translations of sleddogs that have similar meaning, while in examples 12 and 13 orthographic distance helped to pick the correct translation which is the closest in terms of edit distance.
throughout the paper, we work with two lexicons.