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.
