Large cross-language lexicons involving hybrid terms emerge in various fields like e-learning educational materials. Some of their common properties make many traditional lexicon management mechanisms less efficient. In this paper, we propose a new method for the cross-language lexicon based on collaborative work of hash family and double-array trie and a prototype is implemented. Our experiments on four lexicons of different styles show that the presented method demonstrates a better overall performance on not only cross-language lexicons but also some traditional lexicons.