An Automatic Summarizer for a Low-Resourced Language

Abstract

In the current scenario with the availability of huge volumes of information has given rise to the quench for auto summarizers. Our paper proposes a simple auto summarizer for text document in Odia language, a language that is computationally impoverished. It is a statistical-based extractive text summarizer and does a shallow approach. The summarizer also considers some linguistic features in the process. The sentences for the summary are extracted on the basis of their significant values. The program-generated summary is evaluated against human-generated summaries on the basis of F score values and has got a performance score of 66.92% giving a clear gist of the input text.