diff --git a/Documentation/Cookbook/Scripts/otb_warnings.py b/Documentation/Cookbook/Scripts/otb_warnings.py
index 457c440bafcdabf4f217eea128150986599197ca..61af6ff2b244b165f964632f6dc595ede845979d 100644
--- a/Documentation/Cookbook/Scripts/otb_warnings.py
+++ b/Documentation/Cookbook/Scripts/otb_warnings.py
@@ -18,17 +18,6 @@ def parameter_warnings(app_warn, app, key):
     if "." in name:
         warn("name contains a special character (.)")
 
-    # disabled because there are so many for now
-    #if description == "":
-        #warn("missing description")
-
-    # disabled because there are so many for now
-    #if len(description) > 0 and description[-1] != ".":
-        #warn("description does not end with a period")
-
-    #if len(description) > 0 and " :" in description:
-        #warn("description has a space before a colon")
-
 def application_documentation_warnings(app):
     "Emit warnings about application documentation"
 
@@ -38,16 +27,9 @@ def application_documentation_warnings(app):
     description = app.GetDescription()
     longdescription = app.GetDocLongDescription()
 
-    # disable because there are so many for now
-    #if not longdescription[-1] == ".":
-        #warn("Application Long Description does not end with a period (.)")
-
     if re.search("\\n [a-zA-Z]", longdescription):
         warn("Application Long Description contains '\\n ' pattern (usually not intended)")
 
-    #if " :" in longdescription:
-        #warn("Application Long Description has a space before a colon")
-
     if app.GetNumberOfExamples() == 0:
         warn("Application has no examples")
 
diff --git a/Modules/Applications/AppClassification/app/otbKMeansClassification.cxx b/Modules/Applications/AppClassification/app/otbKMeansClassification.cxx
index dc59be6383a2445155a7c33d42a708e07eb13545..7f77cb9893ab22289cb411c849a21523f55907b8 100644
--- a/Modules/Applications/AppClassification/app/otbKMeansClassification.cxx
+++ b/Modules/Applications/AppClassification/app/otbKMeansClassification.cxx
@@ -417,7 +417,7 @@ private:
         "4) SampleExtraction: extract the samples descriptors (update of SampleSelection output file),\n"
         "5) ComputeImagesStatistics: compute images second order statistics,\n"
         "6) TrainVectorClassifier: train the SharkKMeans model,\n"
-        "7) ImageClassifier: performs the classification of the input image "
+        "7) ImageClassifier: perform the classification of the input image "
             "according to a model file.\n\n"
         "It's possible to choice random/periodic modes of the SampleSelection application.\n"
         "If you want keep the temporary files (sample selected, model file, ...), "