Word embeddings-being an unsupervised technique-cannot be easily evaluated without comparing performance in some downstream task.
we present two novel benchmarking tasks of our own making: a relation identification task analogous to previous evaluations on English, in which the quality of different kinds of word embeddings is measured, and a dialect identification task which measures the usefulness of word embeddings as a linguistic resource for Dutch in particular.