- All Implemented Interfaces:
public class AddCorpusOptions extends com.ibm.cloud.sdk.core.service.model.GenericModel
Nested Class Summary
Nested Classes Modifier and Type Class Description
Methods inherited from class com.ibm.cloud.sdk.core.service.model.GenericModel
equals, hashCode, toString
newBuilderpublic AddCorpusOptions.Builder newBuilder()New builder.
- a AddCorpusOptions builder
customizationIdpublic String customizationId()Gets the customizationId.
The customization ID (GUID) of the custom language model that is to be used for the request. You must make the request with credentials for the instance of the service that owns the custom model.
- the customizationId
corpusNamepublic String corpusName()Gets the corpusName.
The name of the new corpus for the custom language model. Use a localized name that matches the language of the custom model and reflects the contents of the corpus. * Include a maximum of 128 characters in the name. * Do not use characters that need to be URL-encoded. For example, do not use spaces, slashes, backslashes, colons, ampersands, double quotes, plus signs, equals signs, questions marks, and so on in the name. (The service does not prevent the use of these characters. But because they must be URL-encoded wherever used, their use is strongly discouraged.) * Do not use the name of an existing corpus or grammar that is already defined for the custom model. * Do not use the name `user`, which is reserved by the service to denote custom words that are added or modified by the user. * Do not use the name `base_lm` or `default_lm`. Both names are reserved for future use by the service.
- the corpusName
corpusFilepublic InputStream corpusFile()Gets the corpusFile.
A plain text file that contains the training data for the corpus. Encode the file in UTF-8 if it contains non-ASCII characters; the service assumes UTF-8 encoding if it encounters non-ASCII characters.
Make sure that you know the character encoding of the file. You must use that same encoding when working with the words in the custom language model. For more information, see [Character encoding for custom words](https://cloud.ibm.com/docs/speech-to-text?topic=speech-to-text-manageWords#charEncoding).
With the `curl` command, use the `--data-binary` option to upload the file for the request.
- the corpusFile
allowOverwritepublic Boolean allowOverwrite()Gets the allowOverwrite.
If `true`, the specified corpus overwrites an existing corpus with the same name. If `false`, the request fails if a corpus with the same name already exists. The parameter has no effect if a corpus with the same name does not already exist.
- the allowOverwrite