diff --git a/paddle/parameter/ParameterUpdaterHook.cpp b/paddle/parameter/ParameterUpdaterHook.cpp
index 968803fc0f0b81cfdea269423d99b8282b7fcc38..c8b47687f5d3c00f6609b858103a5fec526b970a 100644
--- a/paddle/parameter/ParameterUpdaterHook.cpp
+++ b/paddle/parameter/ParameterUpdaterHook.cpp
@@ -32,7 +32,7 @@ namespace paddle {
 /**
  * The static pruning hook
  * Static means user specify a sparsity_ratio before training started, and the
- * network will prune the parameters based on the sparsity_ratio. More deatils
+ * network will prune the parameters based on the sparsity_ratio. More details
  * can be found https://arxiv.org/pdf/1506.02626.pdf.
  */
 
diff --git a/python/paddle/trainer_config_helpers/attrs.py b/python/paddle/trainer_config_helpers/attrs.py
index 66163bdc8dc40bf0c0cdf1aed63bff329479469e..c02306f3945cebecacc3870e68cc2d919fb8ea4b 100644
--- a/python/paddle/trainer_config_helpers/attrs.py
+++ b/python/paddle/trainer_config_helpers/attrs.py
@@ -84,7 +84,7 @@ class HookAttribute(object):
             assert is_compatible_with(
                 self.sparsity_ratio,
                 float), 'sparisity_ratio must be float type'
-            assert self.sparsity_ratio <= 1 and self.sparsity_ratio >= 0, 'sparisity_ratio must be a float between [0, 1] '
+            assert self.sparsity_ratio <= 1 and self.sparsity_ratio >= 0, 'sparsity_ratio must be a float between [0, 1] '
 
     def __call__(self):
         return ParameterHook(self.type, sparsity_ratio=self.sparsity_ratio)