Previous work has yielded state of the art approaches that create a matrix of scores for all word pairs based on optimized weighted combinations of component scores computed on the basis of various helpful sources of information such as phonetic information, word context information, temporal context information, word frequency information, and word burstiness information.
when assigning a score to a word pair, the current state of the art methods do not take into account scores assigned to other word pairs.