We present a novel method for discovering missing crosslanguage links between English and Japanese Wikipedia articles. We collect candidates of missing cross-language links - a pair of English and Japanese Wikipedia articles, which could be connected by cross-language links. Then we select the correct cross-language links among the candidates by using a classifier trained with various types of features. Our method has three desirable characteristics for discovering missing links. First, our method can discover cross-language links with high accuracy (92% precision with 78% recall rates). Second, the features used in a classifier are language-independent. Third, without relying on any external knowledge, we generate the features based on resources automatically obtained from Wikipedia. In this work, we discover approximately 105 missing crosslanguage links from Wikipedia, which are almost two-thirds as many as the existing cross-language links in Wikipedia.