Abstract:
Automatic summarization is the process of
reducing a text document with a computer program. A
summary retains the most important points of the
original document. It is essential for Natural Language
Processing (NLP) researches. Automatically
summarized text can sometimes result in broken
anaphoric references. This is due to the fact that the
sentences are extracted without making any deeper
linguistic analysis of the text. Anaphoric reference
resolution is a common phenomenon in natural
language processing, which has correspondingly
received a significant amount of attention in the
literature. In this paper, we present a Myanmar
Pronominal Anaphora Resolution (MPAR) algorithm
which bases on Hobbs’ (1986) algorithm that works on
only the surface syntax of sentences in a given text.
This paper also proposes a new summarization method
using MPAR algorithm for Myanmar texts. The
summarized text using anaphora resolution can
achieves more meaningful result than a system not
using anaphora resolution.
