Paper: Cross-Language Document Summarization Based on Machine Translation Quality Prediction

ACL ID P10-1094
Title Cross-Language Document Summarization Based on Machine Translation Quality Prediction
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2010
Authors

Cross-language document summarization is a task of producing a summary in one language for a document set in a different language. Ex- isting methods simply use machine translation for document translation or summary transla- tion. However, current machine translation services are far from satisfactory, which re- sults in that the quality of the cross-language summary is usually very poor, both in read- ability and content. In this paper, we propose to consider the translation quality of each sen- tence in the English-to-Chinese cross-language summarization process. First, the translation quality of each English sentence in the docu- ment set is predicted with the SVM regression method, and then the quality score of each sen- tence is incorporated into the summarization proce...