Abstract: A first natural language understanding (NLU) model associated with a first language is obtained. A second natural language understanding model associated with a second language different from the first language is obtained. The second NLU model is functionally consistent with the first NLU model. A change to a functionality of the first NLU model is detected. In response to detecting the change to the functionality of the first NLU model, the change is automatically propagated to the second NLU model.

Abstract: A first natural language understanding (NLU) model associated with a first language is obtained. A second natural language understanding model associated with a second language different from the first language is obtained. The second NLU model is functionally consistent with the first NLU model. A change to a functionality of the first NLU model is detected. In response to detecting the change to the functionality of the first NLU model, the change is automatically propagated to the second NLU model.

Abstract: A specification of a first natural language understanding (NLU) machine learning model for a first human communication language is received. The specification specifies a language content associated with one or more intents of the first NLU machine learning model in the first human communication language. An identification of an association between the first NLU machine learning model and a second NLU machine learning model for a second human communication language is received. The first NLU machine learning model and the second NLU machine learning model are managed together. This includes detecting a change to the first NLU machine learning model in the first human communication language and a software using the first NLU and in response automatically assisting in maintaining consistency in the second NLU machine learning model in the second human communication language by respectively updating the software with respect to the detected change.

Abstract: A specification of a first natural language understanding (NLU) machine learning model for a first human communication language is received. The specification specifies a language content associated with one or more intents of the first NLU machine learning model in the first human communication language. An identification of an association between the first NLU machine learning model and a second NLU machine learning model for a second human communication language is received. The first NLU machine learning model and the second NLU machine learning model are managed together. This includes detecting a change to the first NLU machine learning model in the first human communication language and in response automatically assisting in maintaining consistency in the second NLU machine learning model in the second human communication language with respect to the detected change.