A main challenge in Cross-Language Information Retrieval (CLIR) is to estimate a proper
translation model from available translation resources, since translation quality directly
affects the retrieval performance. Among different translation resources, we focus on
obtaining translation models from comparable corpora, because they provide appropriate
translations for both languages and domains with limited linguistic resources. In this paper,
we employ a two-step approach to build an effective translation model from comparable …