[Docs] Add term query with normalizer example

docs/reference/mapping/params/normalizer.asciidoc

@@ -7,7 +7,8 @@ produces a single token.
 
 The `normalizer` is applied prior to indexing the keyword, as well as at
 search-time when the `keyword` field is searched via a query parser such as
-the <<query-dsl-match-query,`match`>> query.
+the <<query-dsl-match-query,`match`>> query or via a term level query 
+such as the <<query-dsl-term-query,`term`>> query.
 
 [source,js]
 --------------------------------
@@ -53,6 +54,15 @@ PUT index/_doc/3
 
 POST index/_refresh
 
+GET index/_search
+{
+  "query": {
+    "term": {
+      "foo": "BAR"
+    }
+  }
+}
+
 GET index/_search
 {
   "query": {
@@ -64,7 +74,7 @@ GET index/_search
 --------------------------------
 // CONSOLE
 
-The above query matches documents 1 and 2 since `BÀR` is converted to `bar` at
+The above queries match documents 1 and 2 since `BÀR` is converted to `bar` at
 both index and query time.
 
 [source,js]

docs/reference/query-dsl/term-level-queries.asciidoc

@@ -3,7 +3,8 @@
 
 While the <<full-text-queries,full text queries>> will analyze the query
 string before executing, the _term-level queries_ operate on the exact terms
-that are stored in the inverted index.
+that are stored in the inverted index, and will normalize terms before executing 
+only for <<keyword,`keyword`>> fields with <<normalizer,`normalizer`>> property.
 
 These queries are usually used for structured data like numbers, dates, and
 enums, rather than full text fields.  Alternatively, they allow you to craft