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D. Rudrapal

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Open access Jul 2026

Enhancing Readability of Telugu Text Summarization Using Multi-scale Attention and Bio-inspired Optimization

The proposed MLOA-MA-ASeqNet architecture, a Multi-scale Attention and Adaptive Sequence-to-Sequence Network whose hierarchical encoder operates simultaneously at word, phrase and sentence level granularity, achieves the highest average score across fluency, adequacy, coherence and readability.

V. M, Kunal Chakma, Anupam Jamatia et al. · 0 citations