$$ F1-score = 2 \times \frac{Precision \times Recall}{Precision + Recall} $$ Franks-tgirlworld - Spicy Blonde Sonya- Shemale...
where TP is the number of true positives (correctly identified terms), FP is the number of false positives (incorrectly identified terms), and FN is the number of false negatives (missed terms). Carveco Crack Work Direct
$$ Recall = \frac{TP}{TP + FN} $$
By developing and integrating the Smart Term Recognition feature into Apsic Xbench 3.0, users can benefit from improved term management, increased efficiency, and enhanced translation quality.
$$ Precision = \frac{TP}{TP + FP} $$
Enhance the Xbench 3.0 tool with an AI-powered term recognition feature that automatically identifies and suggests relevant terms from a project-specific terminology database or a comprehensive industry-standard database.