diff --git a/docs/sql-ref-ansi-compliance.md b/docs/sql-ref-ansi-compliance.md
index 022c27e5a0848..f97b166206396 100644
--- a/docs/sql-ref-ansi-compliance.md
+++ b/docs/sql-ref-ansi-compliance.md
@@ -62,7 +62,7 @@ Spark SQL has three kinds of type conversions: explicit casting, type coercion,
 When `spark.sql.ansi.enabled` is set to `true`, explicit casting by `CAST` syntax throws a runtime exception for illegal cast patterns defined in the standard, e.g. casts from a string to an integer.
 On the other hand, `INSERT INTO` syntax throws an analysis exception when the ANSI mode enabled via `spark.sql.storeAssignmentPolicy=ANSI`.
 
-The type conversion of Spark ANSI mode follows the syntax rules of section 6.13 "cast specification" in [ISO/IEC 9075-2:2011 Information technology — Database languages - SQL — Part 2: Foundation (SQL/Foundation)"](https://www.iso.org/standard/53682.html), except it specially allows the following
+The type conversion of Spark ANSI mode follows the syntax rules of section 6.13 "cast specification" in [ISO/IEC 9075-2:2011 Information technology — Database languages - SQL — Part 2: Foundation (SQL/Foundation)](https://www.iso.org/standard/53682.html), except it specially allows the following
  straightforward type conversions which are disallowed as per the ANSI standard:
 * NumericType <=> BooleanType
 * StringType <=> BinaryType