The effect of pseudo relevance feedback on MT-based CLIR

Abstract

In this paper, we identify factors that affect machine translation (MT) of a source query for cross-language information retrieval (CLIR) and empirically evaluate the effect of pseudo relevance feedback on crosslanguage retrieval performance. Our experiments demonstrate that, by using pseudo relevance feedback, we can significantly improve cross-language retrieval performance and achieve the level of monolingual retrieval.