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Bengali text summarization by sentence extraction

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arxiv 1201.2240 v1 pith:A26OGAZE submitted 2012-01-11 cs.IR cs.CL

classification cs.IRcs.CL
keywords textsummarizationbengaliabstractbeencomputerprocessproduce
verification ladder T0 review T1 audit T2 compute T3 formal
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Text summarization is a process to produce an abstract or a summary by selecting significant portion of the information from one or more texts. In an automatic text summarization process, a text is given to the computer and the computer returns a shorter less redundant extract or abstract of the original text(s). Many techniques have been developed for summarizing English text(s). But, a very few attempts have been made for Bengali text summarization. This paper presents a method for Bengali text summarization which extracts important sentences from a Bengali document to produce a summary.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. A Novel Word Pair-based Gaussian Sentence Similarity Algorithm For Bengali Extractive Text Summarization

    cs.CL 2024-11 reject novelty 4.0 of 10

    A word-pair Gaussian sentence similarity method combined with spectral clustering and TF-IDF is claimed to improve Bengali extractive summarization and to transfer to Hindi, Marathi, and Turkish.

  2. Abstractive Text Summarization for Bangla Language Using NLP and Machine Learning Approaches

    cs.CL 2025-01 reject novelty 2.0 of 10

    A Bengali abstractive summarizer using LSTM encoder-decoder with attention is described, but no evaluation results are reported.

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