How to configure the Recognize Language from Text component-Chat App Message Service(Chat App)-阿里云帮助中心

Component information

Icon	Name
	Recognize Language from Text

To configure this component, access the flow canvas by using an existing flow or creating a new one.

Go to the canvas of an existing flow
In the Chat Flow > Flow Management > Flow Name
Create a new flow to open its canvas. For more information, see Create a flow.

On the canvas, click the Recognize Language from Text component icon to view the configuration pane on the right.

The configuration pane lists available variables, such as incomingMessage, wabaId, wabaPhoneNumber, customerPhoneNumber, and customerName. In the basic settings area, select the variable to analyze (for example, incomingMessage) from the content identification drop-down list. Use the accuracy level slider to set the confidence threshold; a higher value indicates a higher confidence requirement. Select a fallback language, such as English. Select an output type, either isoCode639_1 or isoCode639_3, and enter an output variable name. When you finish, click Save.
Configure the component parameters. For a detailed description of each parameter, see Parameters.
After you finish the configuration, click Save. In the dialog box that appears, click Save.

Parameter	Description
Content Identification	The input variable that contains the text you want to analyze.
Accuracy Level	The confidence threshold for language identification. A higher value requires greater certainty in the result.
Fall-back Language	The default language used when the message's language cannot be identified.
Output Type	The format for the output language code. Example: If the identified language is English, the `isoCode639_1` type returns `en`, and the `isoCode639_3` type returns `eng`.
Output Path Variable	The name of the output variable that stores the identified language code.
Multi-branching Settings	When enabled, creates a separate execution branch for each specified language.