diff --git a/python/pyspark/ml/tests/connect/test_parity_feature.py b/python/pyspark/ml/tests/connect/test_parity_feature.py
index d75146be41cf3..baa3e6e7e0df9 100644
--- a/python/pyspark/ml/tests/connect/test_parity_feature.py
+++ b/python/pyspark/ml/tests/connect/test_parity_feature.py
@@ -30,6 +30,10 @@ def test_count_vectorizer_from_vocab(self):
     def test_string_indexer_from_labels(self):
         super().test_string_indexer_from_labels()
 
+    @unittest.skip("Need to support.")
+    def test_stop_words_lengague_selection(self):
+        super().test_stop_words_lengague_selection()
+
 
 if __name__ == "__main__":
     from pyspark.ml.tests.connect.test_parity_feature import *  # noqa: F401
diff --git a/python/pyspark/ml/tests/test_feature.py b/python/pyspark/ml/tests/test_feature.py
index edfda54ca83c4..f42f89b3014f9 100644
--- a/python/pyspark/ml/tests/test_feature.py
+++ b/python/pyspark/ml/tests/test_feature.py
@@ -896,13 +896,6 @@ def test_stop_words_remover_II(self):
         self.assertEqual(stopWordRemover.getStopWords(), stopwords)
         transformedDF = stopWordRemover.transform(dataset)
         self.assertEqual(transformedDF.head().output, ["a"])
-        # with language selection
-        stopwords = StopWordsRemover.loadDefaultStopWords("turkish")
-        dataset = self.spark.createDataFrame([Row(input=["acaba", "ama", "biri"])])
-        stopWordRemover.setStopWords(stopwords)
-        self.assertEqual(stopWordRemover.getStopWords(), stopwords)
-        transformedDF = stopWordRemover.transform(dataset)
-        self.assertEqual(transformedDF.head().output, [])
         # with locale
         stopwords = ["BELKİ"]
         dataset = self.spark.createDataFrame([Row(input=["belki"])])
@@ -911,6 +904,15 @@ def test_stop_words_remover_II(self):
         transformedDF = stopWordRemover.transform(dataset)
         self.assertEqual(transformedDF.head().output, [])
 
+    def test_stop_words_language_selection(self):
+        stopWordRemover = StopWordsRemover(inputCol="input", outputCol="output")
+        stopwords = StopWordsRemover.loadDefaultStopWords("turkish")
+        dataset = self.spark.createDataFrame([Row(input=["acaba", "ama", "biri"])])
+        stopWordRemover.setStopWords(stopwords)
+        self.assertEqual(stopWordRemover.getStopWords(), stopwords)
+        transformedDF = stopWordRemover.transform(dataset)
+        self.assertEqual(transformedDF.head().output, [])
+
     def test_binarizer(self):
         b0 = Binarizer()
         self.assertListEqual(