Update README.md

README.md

@@ -145,7 +145,7 @@ generalizes well on a variety of languages, while also behaves as a multi-label
 
 ## Intended uses & limitations
 This model can be treated as a base model for further fine-tuning on specific language identification extraction tasks. 
-Note that as a general language tagging model, it can potentially get confused from shared language families or from short texts. For example, English and German, Spanish and Portuguese, and Russian and Ukrainian.
+Note that as a general language tagging model, it can potentially get confused from shared language families or from short texts. For example, Danish and Norwegian, Spanish and Portuguese, and Russian and Ukrainian.
 
 The model is trained on a sentence with a minimum of four tokens, so it may not accurately classify very short and ambigous statements. Note that this model is experimental
 and may produce unexpected results compared to generic text classifiers. It is trained on cleaned text, therefore, "messy" text may unexpectedly produce different results.