Similarly to the case of monolingual WSD, manual inspection of the output reveals that translations help us rule out incorrect senses and let the disambiguation algorithm focus on the more coherent set of senses for the input context in a way similar to the one highlighted by the example in Figure 1.
of this we are able to improve the performance of both monolingual Degree and PLength, and compete with the state of the art on all disambiguation tasks.