/* * Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. * * Licensed under the Apache License, Version 2.0 (the "License"). * You may not use this file except in compliance with the License. * A copy of the License is located at * * http://aws.amazon.com/apache2.0 * * or in the "license" file accompanying this file. This file is distributed * on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either * express or implied. See the License for the specific language governing * permissions and limitations under the License. */ /* * Do not modify this file. This file is generated from the transcribe-2017-10-26.normal.json service model. */ using System; using System.Collections.Generic; using System.Xml.Serialization; using System.Text; using System.IO; using System.Net; using Amazon.Runtime; using Amazon.Runtime.Internal; namespace Amazon.TranscribeService.Model { /// /// Container for the parameters to the CreateLanguageModel operation. /// Creates a new custom language model. /// /// /// /// When creating a new custom language model, you must specify: /// /// /// public partial class CreateLanguageModelRequest : AmazonTranscribeServiceRequest { private BaseModelName _baseModelName; private InputDataConfig _inputDataConfig; private CLMLanguageCode _languageCode; private string _modelName; private List _tags = new List(); /// /// Gets and sets the property BaseModelName. /// /// The Amazon Transcribe standard language model, or base model, used to create your /// custom language model. Amazon Transcribe offers two options for base models: Wideband /// and Narrowband. /// /// /// /// If the audio you want to transcribe has a sample rate of 16,000 Hz or greater, choose /// WideBand. To transcribe audio with a sample rate less than 16,000 Hz, /// choose NarrowBand. /// /// [AWSProperty(Required=true)] public BaseModelName BaseModelName { get { return this._baseModelName; } set { this._baseModelName = value; } } // Check to see if BaseModelName property is set internal bool IsSetBaseModelName() { return this._baseModelName != null; } /// /// Gets and sets the property InputDataConfig. /// /// Contains the Amazon S3 location of the training data you want to use to create a new /// custom language model, and permissions to access this location. /// /// /// /// When using InputDataConfig, you must include these sub-parameters: S3Uri, /// which is the Amazon S3 location of your training data, and DataAccessRoleArn, /// which is the Amazon Resource Name (ARN) of the role that has permission to access /// your specified Amazon S3 location. You can optionally include TuningDataS3Uri, /// which is the Amazon S3 location of your tuning data. If you specify different Amazon /// S3 locations for training and tuning data, the ARN you use must have permissions to /// access both locations. /// /// [AWSProperty(Required=true)] public InputDataConfig InputDataConfig { get { return this._inputDataConfig; } set { this._inputDataConfig = value; } } // Check to see if InputDataConfig property is set internal bool IsSetInputDataConfig() { return this._inputDataConfig != null; } /// /// Gets and sets the property LanguageCode. /// /// The language code that represents the language of your model. Each custom language /// model must contain terms in only one language, and the language you select for your /// custom language model must match the language of your training and tuning data. /// /// /// /// For a list of supported languages and their associated language codes, refer to the /// Supported /// languages table. Note that US English (en-US) is the only language /// supported with Amazon Transcribe Medical. /// /// /// /// A custom language model can only be used to transcribe files in the same language /// as the model. For example, if you create a custom language model using US English /// (en-US), you can only apply this model to files that contain English /// audio. /// /// [AWSProperty(Required=true)] public CLMLanguageCode LanguageCode { get { return this._languageCode; } set { this._languageCode = value; } } // Check to see if LanguageCode property is set internal bool IsSetLanguageCode() { return this._languageCode != null; } /// /// Gets and sets the property ModelName. /// /// A unique name, chosen by you, for your custom language model. /// /// /// /// This name is case sensitive, cannot contain spaces, and must be unique within an Amazon /// Web Services account. If you try to create a new custom language model with the same /// name as an existing custom language model, you get a ConflictException /// error. /// /// [AWSProperty(Required=true, Min=1, Max=200)] public string ModelName { get { return this._modelName; } set { this._modelName = value; } } // Check to see if ModelName property is set internal bool IsSetModelName() { return this._modelName != null; } /// /// Gets and sets the property Tags. /// /// Adds one or more custom tags, each in the form of a key:value pair, to a new custom /// language model at the time you create this new model. /// /// /// /// To learn more about using tags with Amazon Transcribe, refer to Tagging /// resources. /// /// [AWSProperty(Min=1, Max=200)] public List Tags { get { return this._tags; } set { this._tags = value; } } // Check to see if Tags property is set internal bool IsSetTags() { return this._tags != null && this._tags.Count > 0; } } }