Fall back to legacy path if input freezing feature is used (#9668)

docs/MO_DG/prepare_model/Model_Optimizer_FAQ.md

@@ -626,13 +626,14 @@ The issue "SyntaxError: 'yield' inside list comprehension" might occur during co
 The following workarounds are suggested to resolve this issue:
 1. Use Python 3.6/3.7 to convert MXNet\* models on Windows
 2. Update MXNet: pip install mxnet=1.7.0.post2
-Note that you might have conflicts between previously installed PyPI dependencies.m
+Note that you might have conflicts between previously installed PyPI dependencies.
 
 #### 105. What does the message "The IR preparation was executed by the legacy MO path. ..." mean? <a name="question-105"></a>
 
 For the models in ONNX* format, there are two available paths of IR conversion. 
 The old one is handled by the old Python* implementation, while the new one uses new C++ frontends. 
 Starting from the 2022.1 version, the default IR conversion path for ONNX models is processed using the new ONNX frontend. 
-Certain features, such as `--extensions and` `--transformations_config`, are not yet fully supported on the new frontends. 
+Certain features, such as `--extensions` and `--transformations_config`, are not yet fully supported on the new frontends. 
 For `--extensions`, the new frontends support only paths to shared libraries (.dll and .so). For `--transformations_config`, they support JSON configurations with defined library fields. 
+Inputs freezing (enabled by `--freeze_placeholder_with_value` or `--input` arguments) is not supported on the new frontends. 
 The IR conversion falls back to the old path if a user does not select any expected path of conversion explicitly (by `--use_new_frontend` or `--use_legacy_frontend` MO arguments) and unsupported pre-defined scenario is detected on the new frontend path.