_For a custom model that is based on a previous-generation model_, a sum of the number of times the word is
found across all corpora and grammars. For example, if the word occurs five times in one corpus and seven times
in another, its count is 12. If you add a custom word to a model before it is added by any corpora or
grammars, the count begins at 1; if the word is added from a corpus or grammar first and later modified, the
count reflects only the number of times it is found in corpora and grammars.
_For a custom model that is based on a next-generation model_, the count field for any word is always 1.
The spelling of the word that the service uses to display the word in a transcript. The field contains an empty string if no display-as value is provided for the word, in which case the word is displayed as it is spelled.
If the service discovered one or more problems that you need to correct for the word's definition, an array that describes each of the errors.
_For a custom model that is based on a previous-generation model_, an array of as many as five pronunciations for the word. The array can include the sounds-like pronunciation that is automatically generated by the service if none is provided when the word is added to the custom model; the service adds this pronunciation when it finishes processing the word.
_For a custom model that is based on a next-generation model_, this field does not apply. Custom models based on
next-generation models do not support the sounds_like field, which is ignored.
An array of sources that describes how the word was added to the custom model's words resource.
user.user for custom words
that were added directly to the custom model. Words from corpora and grammars are not added to the words
resource for custom models that are based on next-generation models.A word from the custom model's words resource. The spelling of the word is used to train the model.
Generated using TypeDoc
Information about a word from a custom language model.