Dependent bigrams are two consecutive words that occur together in a text more often than would be expected purely by chance. Identifying such bigrams is an important issue since they provide valuable clues for machine translation, word sense disambiguation, and information retrieval. A variety of significance tests have been proposed (e.g., Church et. al., 1991, Dunning, 1993, Pedersen et. al, 1996) to identify these interesting lexical pairs. In this poster I present a new statistic, minimum sensitivity, that is simple to compute and is free from the underlying distributional assumptions commonly made by significance tests.