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A Tibetan Word Segmentation Method Based on Dynamic Multi-Scale Enhancement
Artificial Intelligence | 更新时间：2025-12-16

    • A Tibetan Word Segmentation Method Based on Dynamic Multi-Scale Enhancement

    • “In the field of Tibetan intelligent information processing, experts have proposed a multi strategy Tibetan word segmentation model TDMA that integrates pre training models, dynamic multi-scale context enhancement, and attention mechanisms, effectively improving the F1 value of Tibetan word segmentation.”
    • Software Guide   Vol. 24, Issue 12, Pages: 126-132(2025)

    • DOI：10.11907/rjdk.251637    

      CLC： TP391

    • Received：11 September 2025，

      Published：15 December 2025

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  • LI Jingyang,PENG Zhan.A Tibetan Word Segmentation Method Based on Dynamic Multi-Scale Enhancement[J].Software Guide,2025,24(12):126-132. DOI： 10.11907/rjdk.251637.

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