Abstract: In recent years, neural models trained on large multilingual text and speech datasets have shown great potential for supporting low-resource languages. This study investigates the ...
Abstract: Accumulating a substantial amount of textual data on power equipment defects during maintenance and inspection stages presents a valuable problem of assessing and grading these text-based ...
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