diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index e244a64f74ea..beb4d0379263 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -43,9 +43,11 @@ Removed
 
 Fixed
 -----
+- ``RegexFeaturizer`` detects all regex in user message (not just first)
 - do_extractors_support_overlap now correctly throws an exception only if no extractors are 
   passed or if extractors that do not support overlapping entities are used.
 
+
 [0.14.3] - 2019-02-01
 ^^^^^^^^^^^^^^^^^^^^^
 -
diff --git a/rasa_nlu/featurizers/regex_featurizer.py b/rasa_nlu/featurizers/regex_featurizer.py
index 9ea03e832655..143e866c45e1 100644
--- a/rasa_nlu/featurizers/regex_featurizer.py
+++ b/rasa_nlu/featurizers/regex_featurizer.py
@@ -71,22 +71,23 @@ def features_for_patterns(self, message):
         message is tokenized, the function will mark all tokens with a dict
         relating the name of the regex to whether it was matched."""
 
-        matches = []
-        for i, exp in enumerate(self.known_patterns):
-            match = re.search(exp["pattern"], message.text)
-            matches.append(match)
+        found_patterns = []
+        for exp in self.known_patterns:
+            matches = re.finditer(exp["pattern"], message.text)
+            matches = list(matches)
+            found_patterns.append(False)
             for token_index, t in enumerate(message.get("tokens", [])):
                 patterns = t.get("pattern", default={})
-                if match is not None:
+                patterns[exp["name"]] = False
+
+                for match in matches:
                     if t.offset < match.end() and t.end > match.start():
                         patterns[exp["name"]] = True
-                    else:
-                        patterns[exp["name"]] = False
-                else:
-                    patterns[exp["name"]] = False
+                        found_patterns[-1] = True
+
                 t.set("pattern", patterns)
-        found = [1.0 if m is not None else 0.0 for m in matches]
-        return np.array(found)
+
+        return np.array(found_patterns).astype(float)
 
     def _generate_lookup_regex(self, lookup_table):
         """creates a regex out of the contents of a lookup table file"""