package Paws::Transcribe::CreateLanguageModelResponse; use Moose; has BaseModelName => (is => 'ro', isa => 'Str'); has InputDataConfig => (is => 'ro', isa => 'Paws::Transcribe::InputDataConfig'); has LanguageCode => (is => 'ro', isa => 'Str'); has ModelName => (is => 'ro', isa => 'Str'); has ModelStatus => (is => 'ro', isa => 'Str'); has _request_id => (is => 'ro', isa => 'Str'); ### main pod documentation begin ### =head1 NAME Paws::Transcribe::CreateLanguageModelResponse =head1 ATTRIBUTES =head2 BaseModelName => Str The Amazon Transcribe standard language model, or base model you've used to create a custom language model. Valid values are: C<"NarrowBand">, C<"WideBand"> =head2 InputDataConfig => L The data access role and Amazon S3 prefixes you've chosen to create your custom language model. =head2 LanguageCode => Str The language code of the text you've used to create a custom language model. Valid values are: C<"en-US">, C<"hi-IN">, C<"es-US">, C<"en-GB">, C<"en-AU"> =head2 ModelName => Str The name you've chosen for your custom language model. =head2 ModelStatus => Str The status of the custom language model. When the status is C the model is ready to use. Valid values are: C<"IN_PROGRESS">, C<"FAILED">, C<"COMPLETED"> =head2 _request_id => Str =cut 1;