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Create Language Translator Service Instance

Objective

IBM Watson™ Language Translator allows you to translate text programmatically from one language into another language.

You create an instance of IBM Watson™ Language Translator service in IBM Cloud.

Tools Used

  • Watson Language Translator

Requirements

Steps

To create an instance of IBM Watson™ Language Translator service in IBM Cloud,

  1. login to IBM Cloud.

  2. Select Catalog from the top navigation bar.

  3. Search for language translator.

  4. Select the Language Translator tile.

  5. Select a region, for example Dallas.

  6. Select an Advanced or Premium pricing plan.

    Note: Because, you are going to build a custom model with your dictionary, you must select an Advanced or Premium pricing plan.

  7. Give it a unique name, for example my-Language-Translator.

  8. Select Both public & prvate network for the Service Endpoints.

  9. Accept the default for the rest of settings.

  10. Click Create button. This create your Translator insstance.

Setup a terminal environment connecting to Translator instance

The rest of the workshop will use your Translator instance created in this section. For simplicity, you are going to connect to your Translator instance via Curl command in a terminal wiindow. To connect to your Translator instance, API key and Endpoint URL must be set correctly.

  1. Go back to the browser where you have created your Translator instance.

  2. Select Manage in the left navigation pane.

  3. Both API key and URL are available on the right.

    Translator service

  4. Copy the API key.

  5. Open a terminal window.

  6. Execute command

    export apikey=<your API key>

  7. Copy the URL.

  8. Execute command below in the terminal window.

    export url=<your url>

  9. To verify you are connected to an instance Translator service, execute the command

    curl --user "apikey:$apikey" "$url/v3/models?source=en&target=es&version=2018-05-01"

  10. It should return

    {
    "models" : [ {
        "model_id" : "en-es",
        "source" : "en",
        "target" : "es",
        "base_model_id" : "",
        "domain" : "general",
        "customizable" : true,
        "default_model" : true,
        "owner" : "",
        "status" : "available",
        "name" : "en-es",
        "training_log" : null
    } ]
}

  11. If the expected result were not returned, reset both apikey and url environment variable.

There is lots of great information, tutorials, articles, etc on the IBM Developer site as well as broader web. Here are a subset of good examples related to data understanding, visualization and processing: