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.
CITATION STYLE
Pattnaik, S., & Nayak, A. K. (2020). An Automatic Summarizer for a Low-Resourced Language. In Advances in Intelligent Systems and Computing (Vol. 1082, pp. 285–295). Springer. https://doi.org/10.1007/978-981-15-1081-6_24
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