Bengali text summarization by sentence extraction
Kamal Sarkar

TL;DR
This paper introduces a method for Bengali text summarization that automatically extracts significant sentences to generate concise summaries, addressing the lack of existing techniques for Bengali language processing.
Contribution
It proposes a novel sentence extraction approach specifically designed for Bengali text summarization, filling a gap in language-specific summarization research.
Findings
Effective extraction of important sentences from Bengali texts
Addresses the scarcity of Bengali summarization techniques
Provides a foundation for future Bengali NLP applications
Abstract
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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Taxonomy
TopicsTopic Modeling · Natural Language Processing Techniques · Speech and dialogue systems
