Comparison Of Text Summarizer In Indian Languages

• Main Authors: D. K. Kanitha, D. Muhammad Noorul Mubarak, S. A. Shanavas
• Format: Text
• Language: unknown
• Published: Zenodo 2018
• Subjects: Text Summarization, Extractive Methods, Abstractive Methods & Natural Language Processing; Dumais; Gomez; Indian; Landauer; sami
• Online Access: https://dx.doi.org/10.5281/zenodo.1205086; https://zenodo.org/record/1205086

Text summarization is the process of extracting the relevant information from a source text keeps the significant information. Mainly two types of text summarization methods such as abstractive and extractive. The extractive summarization ranks all sentences and high scored sentences are selected as summary. The abstractive summarization understands the content of a document and re-state in few words. This paper discusses about various text summarization methods followed by the Indian languages. The existing algorithms are explained and then the merits and demerits are discussed. 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