1 citations · 1 across the 4 of their papers we have counts for
5 papers
Performance Gap Analysis between Latin and Arabic Scripts HTR
Sana Al-azzawi, Elisa Barney, Marcus Liwicki
Recent studies have shown that handwritten text recognition (HTR) systems perform worse on Arabic-script datasets than on Latin-script data. However, the reasons for this gap are s…
Cross-Lingual Learning within Arabic Script for Low-Resource HTR
Sana Al-azzawi, Elisa Barney, Marcus Liwicki
Handwritten Text Recognition (HTR) with limited labeled data remains a challenging problem, particularly for Arabic-script languages. Although modern sequence-based recognizers per…
A Human-in-the-Loop Label Error Detection Framework Applied to Arabic-Script HTR Datasets
Sana Al-azzawi, Elisa Barney, Marcus Liwicki
Despite recent advances, Handwritten Text Recognition (HTR) for Arabic-script languages still lags behind Latin-script HTR. Part of the problem is dataset quality. To help closing…
Understanding Cross-Language Transfer Improvements in Low-Resource HTR: The Role of Sequence Modeling
Sana Al-azzawi, Chang Liu, Nudrat Habib +2
Handwritten Text Recognition (HTR) for Arabic-script languages benefits from cross-language joint training under low-resource conditions, particularly when using CRNN-based models…
AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages
Jiayi Wang, David Ifeoluwa Adelani, Sweta Agrawal +55
Despite the recent progress on scaling multilingual machine translation (MT) to several under-resourced African languages, accurately measuring this progress remains challenging, s…