diff --git a/egs/aishell4/ASR/local/text_normalize.py b/egs/aishell4/ASR/local/text_normalize.py
new file mode 100755
index 000000000..5650be502
--- /dev/null
+++ b/egs/aishell4/ASR/local/text_normalize.py
@@ -0,0 +1,119 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+# Copyright    2022  Xiaomi Corp.        (authors: Mingshuang Luo)
+#
+# See ../../../../LICENSE for clarification regarding multiple authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+"""
+This script takes as input "text_full", which includes three transcript files
+(train_S, train_M and train_L) for AISHELL4:
+    - text_full
+and generates the output file text_normalize which is implemented
+to normalize text:
+    - text
+"""
+
+
+import argparse
+
+from tqdm import tqdm
+
+
+def get_parser():
+    parser = argparse.ArgumentParser(
+        description="Normalizing for text",
+        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
+    )
+    parser.add_argument(
+        "--input",
+        default="data/lang_char/text_full",
+        type=str,
+        help="the input text files for AISHELL4",
+    )
+    parser.add_argument(
+        "--output",
+        default="data/lang_char/text",
+        type=str,
+        help="the text implemented with normalizer for AISHELL4",
+    )
+
+    return parser
+
+
+def text_normalize(str_line: str):
+    line = str_line.strip().rstrip("\n")
+    line = line.replace(" ", "")
+    line = line.replace("<sil>", "")
+    line = line.replace("<%>", "")
+    line = line.replace("<->", "")
+    line = line.replace("<$>", "")
+    line = line.replace("<#>", "")
+    line = line.replace("<_>", "")
+    line = line.replace("<space>", "")
+    line = line.replace("`", "")
+    line = line.replace("&", "")
+    line = line.replace(",", "")
+    line = line.replace("Ａ", "")
+    line = line.replace("ａ", "A")
+    line = line.replace("ｂ", "B")
+    line = line.replace("ｃ", "C")
+    line = line.replace("ｋ", "K")
+    line = line.replace("ｔ", "T")
+    line = line.replace("，", "")
+    line = line.replace("丶", "")
+    line = line.replace("。", "")
+    line = line.replace("、", "")
+    line = line.replace("？", "")
+    line = line.replace("·", "")
+    line = line.replace("*", "")
+    line = line.replace("！", "")
+    line = line.replace("$", "")
+    line = line.replace("+", "")
+    line = line.replace("-", "")
+    line = line.replace("\\", "")
+    line = line.replace("?", "")
+    line = line.replace("￥", "")
+    line = line.replace("%", "")
+    line = line.replace(".", "")
+    line = line.replace("<", "")
+    line = line.replace("＆", "")
+    line = line.upper()
+
+    return line
+
+
+def main():
+    parser = get_parser()
+    args = parser.parse_args()
+
+    input_file = args.input
+    output_file = args.output
+
+    f = open(input_file, "r", encoding="utf-8")
+    lines = f.readlines()
+    new_lines = []
+    for i in tqdm(range(len(lines))):
+        new_line = text_normalize(lines[i])
+        new_lines.append(new_line)
+
+    f_new = open(output_file, "w", encoding="utf-8")
+    for line in new_lines:
+        f_new.write(line)
+        f_new.write("\n")
+
+
+if __name__ == "__main__":
+    main()