fixing link

Author: aahill

articles/cognitive-services/language-service/custom-named-entity-recognition/how-to/tag-data.md

@@ -40,7 +40,7 @@ As you label your data, keep in mind:
 
     * **Label precisely**: Label each entity to its right type always. Only include what you want extracted, avoid unnecessary data in your labels.
     * **Label consistently**:  The same entity should have the same label across all the documents.
-    * **Label completely**: Label all the instances of the entity in all your documents. You can use the [auto labelling feature](use-autolabelling.md) to ensure complete labeling.
+    * **Label completely**: Label all the instances of the entity in all your documents. You can use the [auto labelling feature](use-autolabeling.md) to ensure complete labeling.
 
    > [!NOTE]
    > There is no fixed number of labels that can guarantee your model will perform the best. Model performance is dependent on possible ambiguity in your [schema](design-schema.md), and the quality of your labeled data. Nevertheless, we recommend having around 50 labeled instances per entity type.

articles/cognitive-services/language-service/custom-text-classification/how-to/tag-data.md

@@ -74,7 +74,7 @@ Use the following steps to label your data:
 
     ---
 
-    You can also use the [auto labelling feature](use-autolabelling.md) to ensure complete labeling.
+    You can also use the [auto labelling feature](use-autolabeling.md) to ensure complete labeling.
 
 6. In the right side pane under the **Labels** pivot you can find all the classes in your project and the count of labeled instances per each.