diff --git a/sml/include/sml.h b/sml/include/sml.h
index a2e50eb..028fb5f 100644
--- a/sml/include/sml.h
+++ b/sml/include/sml.h
@@ -203,7 +203,7 @@ struct sml_variables_list;
 typedef bool (*sml_read_state_cb) (struct sml_object *sml, void *data);
 
 /**
- * @brief Called everytime the SML made a prediction.
+ * @brief Called every time the SML made a prediction.
  * @param sml The ::sml_object Object.
  * @param changed A ::sml_variables_list with the predicted variables.
  * @param data User defined data.
diff --git a/sml/include/sml_ann.h b/sml/include/sml_ann.h
index fc078a3..8c6258b 100644
--- a/sml/include/sml_ann.h
+++ b/sml/include/sml_ann.h
@@ -109,12 +109,12 @@ extern "C" {
  * of their training. In order to reduce this problem the following methods were implemented.
  *
  * The first method is called pseudo-rehearsal (the default one), in this method only one neural network is created
- * and everytime it needs be retrained, random inputs are generated and
+ * and every time it needs be retrained, random inputs are generated and
  * feed to the network. The corresponding outputs are stored and used to train the neural network
  * with the new collected data.
  *
  * The second method of operation consists in creating N neural networks,
- * that are very specific for each pattern that SML encounters and everytime the SML wants to make a prediction,
+ * that are very specific for each pattern that SML encounters and every time the SML wants to make a prediction,
  * it will choose which is the best neural network for the current situation.
  * It is possible to set a limit of how many neural networks SML will have in memory, this limit
  * can be set with ::sml_ann_set_cache_max_size. This cache implements the LRU algorithm so,
diff --git a/sml/include/sml_fuzzy.h b/sml/include/sml_fuzzy.h
index 49eb86b..644223c 100644
--- a/sml/include/sml_fuzzy.h
+++ b/sml/include/sml_fuzzy.h
@@ -277,7 +277,7 @@ bool sml_fuzzy_output_set_accumulation(struct sml_object *sml, struct sml_variab
  * - triange from 3.4 to 4.6, with peak at 4
  * - ramp from 4.4 to 5
  *
- * Terms autocreated are also rebalanced everytime ::sml_variable_set_range is
+ * Terms autocreated are also rebalanced every time ::sml_variable_set_range is
  * called. So new terms are created to make sure all variable range is covered.
  * And terms that are no longer necessary are removed.
  *
diff --git a/sml/sml_fuzzy/src/sml_fuzzy_bridge.cpp b/sml/sml_fuzzy/src/sml_fuzzy_bridge.cpp
index 32309e6..9bb4a2a 100644
--- a/sml/sml_fuzzy/src/sml_fuzzy_bridge.cpp
+++ b/sml/sml_fuzzy/src/sml_fuzzy_bridge.cpp
@@ -553,7 +553,7 @@ sml_fuzzy_variable_get_value(struct sml_variable *variable)
     if (output_var)
         return _var_get_val_in_range(fl_var, output_var->getOutputValue());
 
-    sml_warning("Trying to use unkown class of variable");
+    sml_warning("Trying to use unknown class of variable");
     return NAN;
 }
 
@@ -576,7 +576,7 @@ sml_fuzzy_variable_set_value(struct sml_variable *variable, float value)
         return;
     }
 
-    sml_warning("Trying to use unkown class of variable");
+    sml_warning("Trying to use unknown class of variable");
 }
 
 struct sml_variable *