Query-Focused Multi-Document Summarization for Earthquake News Written in Myanmar Language

Abstract

Due to the fast growth of online information on the Internet, there are a large number of journals, magazines, information portals and personal blog sites written in Myanmar language have now online editions. But there need more time to read and grasp it. Manual analysis of the conveyed documents becomes almost impossible. Therefore, the process of summarizing documents is becoming increasingly popular. It is a kind of text mining strategy which involves reducing a text document or multiple documents into a short set of words or paragraph which conveys the main meaning of the text. Although there are many language text summarizers but Myanmar language summarizer is still in research area. Summarizing the important information from the multiple documents written in Myanmar Language at short period of time is not mature. In this paper, when the user queries one or more options, the system extracts the relevant important sentences from the documents. After that, the system abstracts the important information in fewer words and then gives the word level summary to the user that is relevant to the user query options. The system focuses on Earthquake news written in Myanmar Language.