Detect Language activity

An activity that identifies a language based on text input in Google AI.


Detect Language activity

Configure the Detect Language activity

Prerequisites

Good to Know

How to Start

  1. Open Process Builder.

    For information about how to open this screen, refer to Process Builder.


    Open Process Builder
  2. In Process Builder, in the Activity Library, open the Google AI tab.

    Open Google AI tab
  3. On the Google AI tab, drag the Detect Language activity onto your process.

    Drag Detect Language activity

General Configuration

Specifies the basic settings for the Detect Language activity.

Figure: General Configuration screen

General Configuration screen

Good to Know

  • Documentation for this screen is provided for completeness. The fields are mostly self-explanatory.

Fields

Field NameDefinition

Display Name

Description:
Specifies the activity name that shows in your process.
Allowed Values:
One line of text (a string).

Accepted:

  • Letters
  • Numbers
  • Spaces
Default Value:
None
Accepts Variables:
No
Example:
This is a common configuration field that is used in many examples. Refer to:
  • Examples - Step-by-step use case examples, information about what types of examples are provided in the AgilePoint NX Product Documentation, and other resources where you can find more examples.

Description

Description:
Specifies an optional text description for your activity.
Allowed Values:
More than one line of text.
Default Value:
None
Accepts Variables:
No

Detect Language Configuration

Specifies the information to identify a language in Google AI.

Figure: Detect Language Configuration screen

Detect Language Configuration screen

Fields

Field NameDefinition

Google Cloud Platform

Description:
Specifies the access token that connects to your Google Cloud Platform service.
Allowed Values:
A list of access tokens configured for your environment.
Default Value:
None

Create Add Token icon

Opens this Screen:
Access Token for Google Cloud Platform
Function of this Screen:
Configure an access token to connect to Google Cloud Platform.
Example:
Refer to:

Text

Description:
Specifies text to identify the language in Google AI.

Google AI reads the text in this field and identifies the language for the text.

Allowed Values:
More than one line of text in any language.
Default Value:
None
Accepts Variables:
Yes

Store Response Language Code In This Variable

Description:
Specifies the process data variable to store the language code for the input text.
Allowed Values:
A process data variable that accepts a text string with no spaces or special characters.
Default Value:
None
Accepts Variables:
Yes
Limitations:

Some information about third-party integrations is outside the scope of the AgilePoint NX Product Documentation. It is the responsibility of the vendors who create and maintain these technologies to provide this information. This includes specific business use cases and examples; explanations for third-party concepts; details about the data models and input and output data formats for third-party technologies; and various types of IDs, URL patterns, connection string formats, or other technical information that is specific to the third-party technologies. For more information, refer to Where Can I Find Information and Examples for Third-Party Integrations?

Store Response Confidence In This Variable

Description:
Specifies the process data variable to store the confidence level for language detection from Google AI.
Allowed Values:
A process data variable that accepts a numeric string with no spaces.
Default Value:
None
Accepts Variables:
Yes
Limitations:

Some information about third-party integrations is outside the scope of the AgilePoint NX Product Documentation. It is the responsibility of the vendors who create and maintain these technologies to provide this information. This includes specific business use cases and examples; explanations for third-party concepts; details about the data models and input and output data formats for third-party technologies; and various types of IDs, URL patterns, connection string formats, or other technical information that is specific to the third-party technologies. For more information, refer to Where Can I Find Information and Examples for Third-Party Integrations?