How does Nuance Mix work?
As a developer you would like to speech enable your smart home devices. Your devices have very special skills that need full control and customization.
Tell vacuumba to chase the white cat. This is something a user might say to your application.
This is what will happen.
Nuance Mix takes what the user said and gives back {JSON} that your app can use.
How it works
This is the structure you will set up in Mix This is the structure you will set up in Mix.nlu
vacuumbaDoStuff
This is an intent. It represents an action or domain available within your app. Intents hold all the samples that your users will say. You can think of them as the classifier name that Mix will return to your app via json, that you can use to call other functions.  intent
Tell vacuumba to chase the white cat A sample is a sentence or phrase a user would say. The more samples you have the better your model will perform.  Sample
ask vacuumba to go after the black cat
A concept helps you capture additional details that are important to your intents. You can think of concepts as variables. Often, you'll be defining custom list concepts, made up of name-value pairs meaningful to your app. Concepts
(Color, Cat ){ make the vacuumba chase the green dog vacuumba chase that white cat
Example of an User Concepts
pet
 cat cat fish fish dog dog lama lama turtle turtle
Tagging Concepts
This is where the magic happens. On each sample you can tag words as concepts. This lets Mix.nlu know they are interchangeable with all the concept values.
Tell vacuumba to chase the [color] white[/] [pets]cat[/]
For example: tell vacuumba to chase the black cat tell vacuumba to chase the green dog
By tagging the words white and cat as color and pets you will not need to enter samples like these
This is a learning computer so you should add samples like these ask vacuumba to go after the black cat make the vacuumba chase the green dog vacuumba chase that white cat

Note: Still working on this.

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