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Einstein Intent Now Supports Multiple Languages

Einstein Intent datasets and models now support these languages: English (US), English (UK), French, German, Italian, Portuguese, Spanish, Chinese (Simplified) (beta), Chinese (Traditional) (beta), and Japanese (beta). You specify the language when you create an intent dataset. When you train that dataset, the model inherits the language of the dataset.

Where: This change applies to Lightning Experience, Salesforce Classic, and all versions of the Salesforce app in Group, Professional, Enterprise, Performance, Unlimited, Developer, and Contact Manager editions.

As a beta feature, Chinese (Simplified), Chinese (Traditional), and Japanese language support is a preview and isn’t part of the “Services” under your master subscription agreement with Salesforce. Use this feature at your sole discretion, and make your purchase decisions only on the basis of generally available products and features. Salesforce doesn’t guarantee general availability of this feature within any particular time frame or at all, and we can discontinue it at any time. This feature is for evaluation purposes only, not for production use. It’s offered as is and isn’t supported, and Salesforce has no liability for any harm or damage arising out of or in connection with it. All restrictions, Salesforce reservation of rights, obligations concerning the Services, and terms for related Non-Salesforce Applications and Content apply equally to your use of this feature.

How: Two new API parameters enable multilanguage support: language and algorithm. When you create the dataset, you specify the language in the language parameter. When you train the dataset to create a model, you pass in the algorithm parameter with a value of multilingual-intent or multilingual-intent-ood (to create a model that handles out-of-domain predictions). These calls take the language parameter.
  • Create a dataset asynchronously—POST /v2/language/datasets/upload
  • Create a dataset synchronously—POST /v2/language/datasets/upload/sync
These calls take the algorithm parameter.
  • Train a dataset—POST /v2/language/train
  • Retrain a dataset—POST /v2/language/retrain