Update articles/ai-services/language-service/conversational-language-understanding/how-to/use-containers.md

acrolinx fix

Author: Jill Grant

articles/ai-services/language-service/conversational-language-understanding/how-to/use-containers.md

@@ -94,7 +94,7 @@ After creating the exported model in the section above, users have to run the co
 | **{ENDPOINT_URI}**          | The endpoint for accessing the API. You can find it on your resource's **Key and endpoint** page, on the Azure portal.                | `https://<your-custom-subdomain>.cognitiveservices.azure.com` |
 | **{IMAGE_TAG}**             | The image tag representing the language of the container you want to run. Make sure this matches the `docker pull` command you used.  | latest                                                        |
 | **{LOCAL_CLU_PORT}**        | Port number assigned for the container in local machine.                                                                              | 5000                                                          |
-| **{LOCAL_MODEL_DIRECTORY}** | Absolute directory in host machine where exported models are be saved in.                                                            | `C:\usr\local\myDeploymentPackage`                            |
+| **{LOCAL_MODEL_DIRECTORY}** | Absolute directory in host machine where exported models are saved in.                                                            | `C:\usr\local\myDeploymentPackage`                            |
 | **{PROJECT_NAME}**          | Name of the project that the exported model belongs to                                                                                | myProject                                                     |
 | **{EXPORTED_MODEL_NAME}**   | Exported model to be downloaded                                                                                                       | myExportedModel                                               |