A Graph-based Approach to Cross-language Multi-document Summarization

cross-language summarization is the task of generating a summary in a language different from the language of the source documents. in this paper, we propose a graph-based approach to multi-document summarization that integrates machine translation quality scores in the sentence extraction process. we evaluate our method on a manually translated subset of the duc 2004 evaluation campaign. results indicate that our approach improves the readability of the generated summaries without degrading their informativity.