An Extractive Approach for Uyghur Text Summarization

다국어 초록 (Multilingual Abstract)

This paper studies Uyghur single text summarization and proposes some of new or improved approaches in the aspects of keyword extraction and evaluation, sentence selection and redundancy removal, also in readability improvement and so on. Proposes an improved frequent pattern-growth approach to extract the semantic strings which perfect both on its semantics and structural integrity, to evaluate this strings uses multi-feature fusion approach and select most important ones as keywords to describe the text theme effectively. In the aspect of sentence similarity and redundancy removal, proposes the idea of theme including degree, so as to effectively remove the redundant sentences and improves the summary quality significantly. Also introduces sentence alignment between the texts that after being stemming and original text, so as to solve the problems that summary naturalness, coherence and comprehensibility decline and other issues caused by stemming process.

목차 (Table of Contents)

• Abstract
• 1. Introduction
• 2. Keyword Extraction
• 2.1. Semantic String Extraction
• 2.2. Semantic String Evaluation and Keyword Extraction
• 3. Key Sentence Selection and Redundancy Removal
• 3.1. Sentence Weighting
• 3.2. Sentence Redundancy Removal
• 4. Summary Organization
• 5. Experiments and Analysis
• 5.1. Corpus for Experiment
• 5.2. Time Efficiency
• 5.3. Summary Quality
• 6. Conclusion
• Acknowledgements
• References