Myanmar Summarized Text with Verb Frame Resource

Abstract

In today’s era, when the size of information and data is increasing exponentially, there is an upcoming need to create a concise version of the information available. This paper presents a summary generation system that will accept a single document as input in Myanmar. In addition, this work presents analysis on the influence of the semantic roles in summary generation. The proposed summarization system uses semantic role of each verb from Myanmar Verb Frame Resource (MVF) to compress original texts. And then, summarization system extracts and combines the sentences according to cut-and-paste method. After that, the system abstracts the important information in fewer words from extraction summary from single documents. The compression ratio of summarization system for 75 documents is 61 percent.