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Phrase-based Compressive Cross-Language Summarization
| Content Provider | CiteSeerX |
|---|---|
| Author | Yao, Jin-Ge Wan, Xiaojun Xiao, Jianguo |
| Abstract | The task of cross-language document summarization is to create a summary in a target language from documents in a dif-ferent source language. Previous meth-ods only involve direct extraction of au-tomatically translated sentences from the original documents. Inspired by phrase-based machine translation, we propose a phrase-based model to simultaneously perform sentence scoring, extraction and compression. We design a greedy algo-rithm to approximately optimize the score function. Experimental results show that our methods outperform the state-of-the-art extractive systems while maintaining similar grammatical quality. 1 |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Phrase-based Compressive Cross-language Summarization Score Function Target Language Phrase-based Machine Translation Translated Sentence Cross-language Document Summarization Phrase-based Model Dif-ferent Source Language Similar Grammatical Quality Greedy Algo-rithm Sentence Scoring Original Document Previous Meth-ods Direct Extraction State-of-the-art Extractive System Experimental Result |
| Content Type | Text |
