batch-detect-language
¶
Description¶
The API returns the detected language and a related confidence score (between 0 and 1). It supports passing a batch of records.
Limitations: - A batch may have up to 100 records. - A record may be up to 5000 characters long. - The total of characters to process in a request can be up to 20,000 characters.
Required Parameters¶
-
--documents
[complex type]
¶
List of Documents for detect language. This is a complex type whose value must be valid JSON. The value can be provided as a string on the command line or passed in as a file using the file://path/to/file syntax.
The --generate-param-json-input
option can be used to generate an example of the JSON which must be provided. We recommend storing this example
in a file, modifying it as needed and then passing it back in via the file:// syntax.
Optional Parameters¶
-
--alias
[text]
¶
Unique name across user tenancy in a region to identify an endpoint to be used for inferencing.
-
--chars-to-consider
[integer]
¶
default value is None. Specifies maximum number of characters to consider for determining the dominant language. If unspecified, then optimum number characters will be considered. If 0 is specified then all the characters are used to determine the language. If the value is greater than 0, then specified number of characters will be considered from the beginning of the text.
-
--compartment-id
,
-c
[text]
¶
The OCID of the compartment that calls the API, inference will be served from pre trained model
-
--endpoint-id
[text]
¶
The endpoint which have to be used for inferencing. If endpointId and compartmentId is provided, then inference will be served from custom model which is mapped to this Endpoint.
-
--from-json
[text]
¶
Provide input to this command as a JSON document from a file using the file://path-to/file syntax.
The --generate-full-command-json-input
option can be used to generate a sample json file to be used with this command option. The key names are pre-populated and match the command option names (converted to camelCase format, e.g. compartment-id –> compartmentId), while the values of the keys need to be populated by the user before using the sample file as an input to this command. For any command option that accepts multiple values, the value of the key can be a JSON array.
Options can still be provided on the command line. If an option exists in both the JSON document and the command line then the command line specified value will be used.
For examples on usage of this option, please see our “using CLI with advanced JSON options” link: https://docs.cloud.oracle.com/iaas/Content/API/SDKDocs/cliusing.htm#AdvancedJSONOptions
-
--should-ignore-transliteration
[boolean]
¶
Specifies whether to consider or ignore transliteration. For example “hi, aap kaise ho? sab kuch teek hai? I will call you tomorrow.” would be detected as English when ignore transliteration=true, Hindi when ignoreTransliteration=false.
Global Parameters¶
Use oci --help
for help on global parameters.
--auth-purpose
, --auth
, --cert-bundle
, --cli-auto-prompt
, --cli-rc-file
, --config-file
, --connection-timeout
, --debug
, --defaults-file
, --endpoint
, --generate-full-command-json-input
, --generate-param-json-input
, --help
, --latest-version
, --max-retries
, --no-retry
, --opc-client-request-id
, --opc-request-id
, --output
, --profile
, --proxy
, --query
, --raw-output
, --read-timeout
, --realm-specific-endpoint
, --region
, --release-info
, --request-id
, --version
, -?
, -d
, -h
, -i
, -v
Example using required parameter¶
Copy and paste the following example into a JSON file, replacing the example parameters with your own.
oci ai language batch-detect-language --generate-param-json-input documents > documents.json
Copy the following CLI commands into a file named example.sh. Run the command by typing “bash example.sh” and replacing the example parameters with your own.
Please note this sample will only work in the POSIX-compliant bash-like shell. You need to set up the OCI configuration and appropriate security policies before trying the examples.
oci ai language batch-detect-language --documents file://documents.json