Fixed typo in README.md

README.md

@@ -26,7 +26,7 @@ It achieves the following results on the evaluation set on DIBCO metrics:
 - PSNR: 14.5040
 - DRD: 5.3749
 
-with PSNR the peak signal-to-noise ratio and DND the distance reciprocal distortion.
+with PSNR the peak signal-to-noise ratio and DRD the distance reciprocal distortion.
 
 For more information on the above DIBCO metrics, see the 2017 introductory [paper](https://ieeexplore.ieee.org/document/8270159).
 
@@ -36,7 +36,7 @@ For more information on the above DIBCO metrics, see the 2017 introductory [pape
 
 This model is part of on-going research on pure semantic segmentation models as a formulation of document image binarization (DIBCO).
 This is in contrast to the late trend of adapting classic binarization algorithms with neural networks, 
-such as [DeepOtsu](https://arxiv.org/abs/1901.06081) or the aforementioned SauvolaNet work, 
+such as [DeepOtsu](https://arxiv.org/abs/1901.06081) or the aforementioned SauvolaNet work
 as extensions of the classical Otsu's method and Sauvola thresholding algorithm, respectively.
 
 ## Intended uses & limitations