4. A system, comprising: at least one processor; and at least one memory including instructions that, when executed by the at least one processor, cause the system to: determine user profile data associated with a device; determine, in the user profile data, a first language spoken by a user associated with the user profile data; cause the device to output first audio, in the first language, soliciting a spoken utterance in a second language, wherein the first audio includes a first indicator representing an intent and a second indicator representing a content type; receive, from the device, audio data corresponding to an utterance in the second language; perform automatic speech recognition (ASR) processing on the audio data to generate text data, the text data including a first portion and a second portion; associate the first portion with the first indicator; associate the second portion with the second indicator; generate a third indicator representing the text data corresponds to the second language; use the first portion associated with the first indicator, the second portion associated with the second indicator, and the third indicator to train a natural language understanding (NLU) component corresponding to the second language; after training the NLU component, determine, using the NLU component, that a user input corresponds to the intent and the content type; and cause an application to perform an action based at least in part on determining that the user input corresponds to the intent and the content type.
4. A system, comprising: at least one processor; and at least one memory including instructions that, when executed by the at least one processor, cause the system to: determine user profile data associated with a device; determine, in the user profile data, a first language spoken by a user associated with the user profile data; cause the device to output first audio, in the first language, soliciting a spoken utterance in a second language, wherein the first audio includes a first indicator representing an intent and a second indicator representing a content type; receive, from the device, audio data corresponding to an utterance in the second language; perform automatic speech recognition (ASR) processing on the audio data to generate text data, the text data including a first portion and a second portion; associate the first portion with the first indicator; associate the second portion with the second indicator; generate a third indicator representing the text data corresponds to the second language; use the first portion associated with the first indicator, the second portion associated with the second indicator, and the third indicator to train a natural language understanding (NLU) component corresponding to the second language; after training the NLU component, determine, using the NLU component, that a user input corresponds to the intent and the content type; and cause an application to perform an action based at least in part on determining that the user input corresponds to the intent and the content type. 6. The system of claim 4 , wherein the at least one memory further includes instructions that, when executed by the at least one processor, further cause the system to: generate second text data soliciting the spoken utterance; and perform text-to-speech (TTS) processing on the second text data to create first output audio data, wherein the first audio corresponds to the first output audio data.