Quickstart: Build, deploy, and use a custom model for translation
This article provides step-by-step instructions to build a translation system with Custom Translator.
A subscription to the Translator Text API via the Azure portal. You will need the Translator Text API subscription key to associate with your workspace in Custom Translator. See how to sign up for the Translator Text API.
When you have both of the above, sign in to the Custom Translator portal. Once on the Custom Translator portal, navigate to the Settings page where you can associate your Microsoft Translator Text API subscription key with your workspace.
Create a project
On the Custom Translator portal landing page, click New Project. On the dialog you can enter your desired project name, language pair, and category, as well as other relevant fields. Then, save your project. For more details, visit Create Project.
You can upload documents from either the documents tab or from a specific project's page.
When uploading documents, choose the document type (training, tuning, or testing), and the language pair. When uploading parallel documents, you'll need to additionally specify a document name. For more details, visit Upload document.
Create a model
When all your required documents are uploaded the next step is to build your model.
Select the project you've created. You'll see all the documents you've uploaded that share a language pair with this project. Select the documents that you want included in your model. You can select training, tuning, and testing data or select just training data and let Custom Translator automatically build tuning and test sets for your model.
When you've finished selecting your desired documents, click Create Model button to create your model and start training. You can see the status of your training, and details for all the models you've trained, in the Models tab.
For more details, visit Create a Model.
Analyze your model
Once your training has completed successfully, inspect the results. The BLEU score is one metric that indicates the quality of your translation. You can also manually compare the translations made with your custom model to the translations provided in your test set by navigating to the "Test" tab and clicking "System Results." Manually inspecting a few of these translations will give you a good idea of the quality of translation produced by your system. For more details, visit System Test Results.
Deploy a trained model
When you are ready to deploy your trained model, click the "Deploy" button. You can have one deployed model per project, and you can view the status of your deployment in the Status column. For more details, visit Model Deployment
Use a deployed model
- Learn how to navigate the Custom Translator workspace and manage your projects.
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