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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM22463
Volume:
7 |
5 |
May 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This article provides an overview of Multilanguage Text Summarization, which is a tool that incorporates various extractive summarization techniques. These techniques operate at the sentence level, extracting and compressing sentences from documents in multiple languages. The system has been evaluated using English, Hindi, Gujarati, and Urdu documents for single-document summarization. The evaluation demonstrates that the method performs consistently well across different languages. The performance of the summarization system is measured using the F-measure score. The research study shows approximately a 2% improvement in outcomes compared to previous work.
KEYWORDS
Publication Date
5/29/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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