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280454 july freshness translator
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articles/ai-services/document-intelligence/concept-custom.md

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> Starting with version 4.0 (2024-02-29-preview) API, custom neural models now support **overlapping fields** and **table, row and cell level confidence**.
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>
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The custom neural (custom document) model uses deep learning models and base model trained on a large collection of documents. This model is then fine-tuned or adapted to your data when you train the model with a labeled dataset. Custom neural models support structured, semi-structured, and unstructured documents to extract fields. Custom neural models currently support English-language documents. When you're choosing between the two model types, start with a neural model to determine if it meets your functional needs. See [neural models](concept-custom-neural.md) to learn more about custom document models.
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The custom neural (custom document) model uses deep learning models and base model trained on a large collection of documents. This model is then fine-tuned or adapted to your data when you train the model with a labeled dataset. Custom neural models support structured, semi-structured, and unstructured documents to extract fields. When you're choosing between the two model types, start with a neural model to determine if it meets your functional needs. See [neural models](concept-custom-neural.md) to learn more about custom document models.
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### Custom template model
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* Template models only accept documents that have the same basic page structure—a uniform visual appearance—or the same relative positioning of elements within the document.
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* Neural models support documents that have the same information, but different page structures. Examples of these documents include United States W2 forms, which share the same information, but vary in appearance across companies. Neural models currently only support English text.
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* Neural models support documents that have the same information, but different page structures. Examples of these documents include United States W2 forms, which share the same information, but vary in appearance across companies.
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This table provides links to the build mode programming language SDK references and code samples on GitHub:
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articles/ai-services/language-support.md

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ms.service: azure-ai-services
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ms.topic: conceptual
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ms.date: 07/18/2023
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ms.date: 07/08/2024
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ms.author: lajanuar
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---
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|![Document Intelligence icon](~/reusable-content/ce-skilling/azure/media/ai-services/document-intelligence.svg)</br>[Document Intelligence](./document-intelligence/language-support.md) | Turn documents into intelligent data-driven solutions. |
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|![Immersive Reader icon](media/service-icons/immersive-reader.svg)</br>[Immersive Reader](./immersive-reader/language-support.md) | Help users read and comprehend text. |
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|![Language icon](~/reusable-content/ce-skilling/azure/media/ai-services/language.svg)</br>[Language service](./language-service/concepts/language-support.md) | Build apps with industry-leading natural language understanding capabilities. |
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|![Language Understanding icon](media/service-icons/luis.svg)</br>[Language Understanding (LUIS)](./luis/luis-language-support.md) (retired) | Understand natural language in your apps. |
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|![Language Understanding icon](media/service-icons/luis.svg)</br>[Language Understanding (`LUIS`)](./luis/luis-language-support.md) (retired) | Understand natural language in your apps. |
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|![QnA Maker icon](media/service-icons/luis.svg)</br>[QnA Maker](./qnamaker/overview/language-support.md) (retired) | Distill information into easy-to-navigate questions and answers. |
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|![Speech icon](~/reusable-content/ce-skilling/azure/media/ai-services/speech.svg)</br>[Speech Service](./speech-service/language-support.md)| Configure speech-to-text, text-to-speech, translation, and speaker recognition applications. |
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|![Translator icon](~/reusable-content/ce-skilling/azure/media/ai-services/translator.svg)</br>[Translator](./translator/language-support.md) | Translate more than 100 in-use, at-risk, and endangered languages and dialects.|
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## See also
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* [What are Azure AI services?](./what-are-ai-services.md)
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* [Create an account](multi-service-resource.md?pivots=azportal)
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* [How to create an account](multi-service-resource.md?pivots=azportal)

articles/ai-services/translator/connector/document-translation-flow.md

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ms.service: azure-ai-translator
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ms.custom: build-2023, build-2023-dataai
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ms.topic: tutorial
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ms.date: 07/09/2024
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---
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### Configure a Document Translation flow
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Now that you've completed the prerequisites and initial setup, let's get started using the Translator V3 connector to create your document translation flow:
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Now that you completed the prerequisites and initial setup, let's get started using the Translator V3 connector to create your document translation flow:
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1. Sign in to [Power Automate](https://powerautomate.microsoft.com/).
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* **Translator resource name**. Enter the name of your Translator resource found at the top of your resource page in the Azure portal. Select **Create**.
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:::image type="content" source="../media/connectors/add-connection.png" alt-text="Screenshot showing the add connection window.":::
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:::image type="content" source="../media/connectors/add-connection.png" alt-text="Screenshot showing the how-to-add connection window.":::
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> [!NOTE]
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> After you've set up your connection, you won't be required to reenter your credentials for subsequent flows.
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* For **Storage type of the input documents**. Select **File** or **Folder**.
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* Select a **Source Language** from the dropdown menu or keep the default **Auto-detect** option.
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* **Location of the source documents**. Enter the URL for your document(s) in your Azure storage source document container.
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* **Location of the source documents**. Enter the URL for your documents in your Azure storage source document container.
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* **Location of the translated documents**. Enter the URL for your Azure storage target document container.
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To find your source and target URLs:
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## Get documents status
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Now that you've submitted your document(s) for translation, let's check the status of the operation.
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Now that you submitted your documents for translation, let's check the status of the operation.
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1. Select **New step**.
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##### Get file content
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1. In the Choose an operation pop-up window, enter **SharePoint**, then select the **Get file content** content. Power Automate automatically signs you into your SharePoint account(s).
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1. In the Choose an operation pop-up window, enter **SharePoint**, then select the **Get file content** content. Power Automate automatically signs you into your SharePoint accounts.
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:::image type="content" source="../media/connectors/get-file-content.png" alt-text="Screenshot of the SharePoint Get file content action.":::
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1. On the **Get file content** step window, complete the following fields:
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* **Site Address**. Select the SharePoint site URL where your file is located from the dropdown list.
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* **File Identifier**. Select the folder icon and choose the document(s) for translation.
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* **File Identifier**. Select the folder icon and choose the documents for translation.
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##### Create a storage blob
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1. Choose the Microsoft Entra account associated with your Azure Blob Storage and Translator resource accounts.
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1. After you have completed the **Azure Blob Storage** authentication, the **Create blob** step appears. Complete the fields as follows:
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1. After you completed the **Azure Blob Storage** authentication, the **Create blob** step appears. Complete the fields as follows:
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* **Storage account name or blob endpoint**. Select **Enter custom value** and enter your storage account name.
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* **Folder path**. Select the folder icon and select your source document container.
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* **Translator resource name**. Enter the name of your Translator resource found at the top of your resource page in the Azure portal.
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* Select **Create**.
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:::image type="content" source="../media/connectors/add-connection.png" alt-text="Screenshot showing the add connection window.":::
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:::image type="content" source="../media/connectors/add-connection.png" alt-text="Screenshot showing the how-to-add connection window.":::
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> [!NOTE]
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> After you've setup your connection, you won't be required to reenter your credentials for subsequent Translator flows.
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##### Get documents status
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Prior to retrieving the documents status, let's schedule a 30-second delay to ensure that the file has been processed for translation:
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Before retrieving the documents status, let's schedule a 30-second delay to ensure that the file is processed for translation:
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1. Select **New step**. Enter **Schedule** in the search box and choose **Delay**.
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* For **Count**. Enter **30**.
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1. Select **Add an action**, enter **Azure Blob Storage** in the search box, and select the **Get blob content using path (V2)** action.
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1. In the **Storage account name or blob endpoint** field, select **Enter custom value** and enter your storage account name.
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1. Select the **Blob path** field to show the **Dynamic content** window, select **Expression** and enter the following logic in the formula field:
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1. Select the **Blob path** field to show the **Dynamic content** window, select **Expression**, and enter the following logic in the formula field:
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```powerappsfl
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1. Select **Add an action**, enter **Azure Blob Storage** in the search box, and select the **Get Blob Metadata using path (V2)** action.
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1. In the **Storage account name or blob endpoint** field, select **Enter custom value** and enter your storage account name.
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:::image type="content" source="../media/connectors/enter-custom-value.png" alt-text="Screenshot showing 'enter custom value' from the Create blob (V2) window.":::
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:::image type="content" source="../media/connectors/enter-custom-value.png" alt-text="Screenshot showing 'enter custom value' from the create-blob-(V2) window.":::
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1. Select the **Blob path** field to show the **Dynamic content** window, select **Expression** and enter the following logic in the formula field:
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That's it! You've learned to automate document translation processes using the Microsoft Translator V3 connector and Power Automate.
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That's it! You learned to automate document translation processes using the Microsoft Translator V3 connector and Power Automate.
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## Next steps
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articles/ai-services/translator/connector/text-translator-flow.md

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ms.service: azure-ai-translator
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ms.date: 07/10/2024
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## Configure the Translator V3 connector
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Now that you've completed the prerequisites, let's get started.
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Now that you completed the prerequisites, let's get started.
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1. Sign in to [Power Automate](https://powerautomate.microsoft.com/).
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* **Subscription Key**. Enter one of your keys that you copied from the Azure portal.
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* **Translator resource name**. Enter the name of your Translator resource found at the top of your resource page in the Azure portal. Select **Create**.
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:::image type="content" source="../media/connectors/add-connection.png" alt-text="Screenshot showing the add connection window.":::
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:::image type="content" source="../media/connectors/add-connection.png" alt-text="Screenshot showing the add-connection window.":::
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:::image type="content" source="../media/connectors/translate-text-step.png" alt-text="Screenshot showing the translate text step.":::
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:::image type="content" source="../media/connectors/translate-text-step.png" alt-text="Screenshot showing the translate-text step.":::
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#### [Transliterate text](#tab/transliterate)
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:::image type="content" source="../media/connectors/add-connection.png" alt-text="Screenshot showing the add-connection window.":::
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:::image type="content" source="../media/connectors/transliterate-text-step.png" alt-text="Screenshot showing the transliterate text step.":::
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:::image type="content" source="../media/connectors/transliterate-text-step.png" alt-text="Screenshot showing the transliterate-text step.":::
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articles/ai-services/translator/containers/deploy-user-managed-glossary.md

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ms.date: 07/10/2024
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recommendations: false
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---

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