The Effect of Pseudo Relevance Feedback on MT-Based CLIR

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.

• Type: Conference
• Year: 2000
• Where: RIAO
• Authors: Yan Qu, Alla N. Eilerman, Hongming Jin, David A. Evans
• Keywords: Cross-language Information Retrieval, Pseudo Relevance Feedback, Retrieval Performance, RIAO 2000, RIAO 2007