diff --git a/cmake/onnxruntime_providers.cmake b/cmake/onnxruntime_providers.cmake
index b9e7873132..4861643832 100644
--- a/cmake/onnxruntime_providers.cmake
+++ b/cmake/onnxruntime_providers.cmake
@@ -1750,7 +1750,7 @@ if (onnxruntime_USE_TVM)
 
   target_include_directories(onnxruntime_providers_tvm PRIVATE
           ${TVM_INCLUDES}
-          ${PYTHON_INLCUDE_DIRS})
+          ${PYTHON_INCLUDE_DIRS})
   onnxruntime_add_include_to_target(onnxruntime_providers_tvm onnxruntime_common onnxruntime_framework onnx onnx_proto ${PROTOBUF_LIB} flatbuffers::flatbuffers Boost::mp11 safeint_interface)
 
   add_dependencies(onnxruntime_providers_tvm ${onnxruntime_EXTERNAL_DEPENDENCIES})
diff --git a/onnxruntime/core/providers/cpu/tensor/upsamplebase.h b/onnxruntime/core/providers/cpu/tensor/upsamplebase.h
index c13c9d42dd..99522cdf07 100644
--- a/onnxruntime/core/providers/cpu/tensor/upsamplebase.h
+++ b/onnxruntime/core/providers/cpu/tensor/upsamplebase.h
@@ -239,7 +239,7 @@ class UpsampleBase {
     if (coordinate_transform_mode_name == "half_pixel_symmetric") {
       return HALF_PIXEL_SYMMETRIC;
     }
-    ORT_THROW("coordinate_transform_mode:[" + coordinate_transform_mode_name + "] is not supportted!");
+    ORT_THROW("coordinate_transform_mode:[" + coordinate_transform_mode_name + "] is not supported!");
   }
 
   GetOriginalCoordinateFunc GetOriginalCoordinateFromResizedCoordinate(
diff --git a/onnxruntime/python/tools/tensorrt/perf/benchmark.py b/onnxruntime/python/tools/tensorrt/perf/benchmark.py
index d440cafb23..acd836c915 100644
--- a/onnxruntime/python/tools/tensorrt/perf/benchmark.py
+++ b/onnxruntime/python/tools/tensorrt/perf/benchmark.py
@@ -2176,7 +2176,7 @@ def parse_arguments():
         required=False,
         default=True,
         action="store_true",
-        help="Inlcude Float16 into benchmarking.",
+        help="Include Float16 into benchmarking.",
     )
 
     parser.add_argument("--trtexec", required=False, default=None, help="trtexec executable path.")
diff --git a/onnxruntime/python/tools/transformers/convert_to_packing_mode.py b/onnxruntime/python/tools/transformers/convert_to_packing_mode.py
index 0b8dbdcdd9..4da97f0de7 100644
--- a/onnxruntime/python/tools/transformers/convert_to_packing_mode.py
+++ b/onnxruntime/python/tools/transformers/convert_to_packing_mode.py
@@ -67,7 +67,7 @@ class PackingAttentionBase:
                 last_layernorm_node = node
         return last_layernorm_node
 
-    def _are_attentions_supportted(self) -> bool:
+    def _are_attentions_supported(self) -> bool:
         raise NotImplementedError()
 
     def _insert_removepadding_node(self, inputs: List[str], outputs: List[str]) -> None:
@@ -105,7 +105,7 @@ class PackingAttentionBase:
     def convert(self, use_symbolic_shape_infer: bool = True) -> None:
         logger.debug("start converting to packing model...")
 
-        if not self._are_attentions_supportted():
+        if not self._are_attentions_supported():
             return
 
         attention_mask = self._try_getting_attention_mask()
@@ -164,7 +164,7 @@ class PackingAttention(PackingAttentionBase):
     def __init__(self, model: OnnxModel):
         super().__init__(model, Operators.ATTENTION)
 
-    def _are_attentions_supportted(self) -> bool:
+    def _are_attentions_supported(self) -> bool:
         for node in self.attention_nodes:
             if OnnxModel.get_node_attribute(node, "past_present_share_buffer") is not None:
                 return False
@@ -237,7 +237,7 @@ class PackingMultiHeadAttention(PackingAttentionBase):
                 return False
         return True
 
-    def _are_attentions_supportted(self) -> bool:
+    def _are_attentions_supported(self) -> bool:
         for node in self.attention_nodes:
             for attr in node.attribute:
                 if attr.name not in ["num_heads", "mask_filter_value", "scale"]:
diff --git a/onnxruntime/test/python/quantization/test_conv_dynamic.py b/onnxruntime/test/python/quantization/test_conv_dynamic.py
index 9578c9fe70..18467bcbc1 100644
--- a/onnxruntime/test/python/quantization/test_conv_dynamic.py
+++ b/onnxruntime/test/python/quantization/test_conv_dynamic.py
@@ -95,7 +95,7 @@ class TestONNXModel(unittest.TestCase):
         for use_quant_config in [True, False]:
             self.dynamic_quant_conv_test(QuantType.QUInt8, extra_options={}, use_quant_config=use_quant_config)
 
-    # TODO: uncomment following after ConvInteger s8 supportted
+    # TODO: uncomment following after ConvInteger s8 supported
     # def test_quant_conv_s8s8(self):
     #    self.dynamic_quant_conv_test(QuantType.QInt8, extra_options={'ActivationSymmetric': True})
 
diff --git a/tools/ci_build/build.py b/tools/ci_build/build.py
index c4fb549998..c25a61ee5d 100644
--- a/tools/ci_build/build.py
+++ b/tools/ci_build/build.py
@@ -2055,7 +2055,7 @@ def build_nuget_package(
 ):
     if not (is_windows() or is_linux()):
         raise BuildError(
-            "Currently csharp builds and nuget package creation is only supportted on Windows and Linux platforms."
+            "Currently csharp builds and nuget package creation is only supported on Windows and Linux platforms."
         )
 
     csharp_build_dir = os.path.join(source_dir, "csharp")