Automatic Myanmar Text Summarization System With Semantic Roles

Abstract

Automatic text summarization is to compress the larger original text into shorter text called as summary. It is the essential researches for Natural Language Processing (NLP). Automatic semantic analysis of natural language text has received much attention by NLP community. In proposed Myanmar text summarization system, automatic summarized text will produce as mail dairy notes for incoming mail system. Anaphora resolution is a key problem in natural language processing, and has correspondingly received a significant amount of attention in the literature. So, automatic pronominal anaphora resolution in Myanmar texts will be used for summary generation system in this paper. This system will identify the semantic relationships, or semantic roles, and fill by constituents of a sentence within a semantic frame using Myanmar Verb Frames. So, verb frame resource with annotated semantic roles will be developed for proposed system.