Starts an asynchronous batch translation job. Use batch translation jobs to translate large volumes of text across multiple documents at once. For batch translation, the input documents must share the same source language. You can specify one or more target languages. Batch translation translates each input document into each of the target languages. For more information, see Asynchronous batch processing
Batch translation jobs can be described with the DescribeTextTranslationJob operation, listed with the ListTextTranslationJobs operation, and stopped with the StopTextTranslationJob operation.
Note
Amazon Translate does not support batch translation of multiple source languages at once.
See also: AWS API Documentation
start-text-translation-job
[--job-name <value>]
--input-data-config <value>
--output-data-config <value>
--data-access-role-arn <value>
--source-language-code <value>
--target-language-codes <value>
[--terminology-names <value>]
[--parallel-data-names <value>]
[--client-token <value>]
[--settings <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
[--cli-binary-format <value>]
[--no-cli-pager]
[--cli-auto-prompt]
[--no-cli-auto-prompt]
--job-name
(string)
The name of the batch translation job to be performed.
--input-data-config
(structure)
Specifies the format and location of the input documents for the translation job.
S3Uri -> (string)
The URI of the AWS S3 folder that contains the input files. Amazon Translate translates all the files in the folder. The folder must be in the same Region as the API endpoint you are calling.
Note
The URI can also point to a single input document, or it can provide the prefix for a collection of input documents. For example. if you use the URI
S3://bucketName/prefix
and the prefix is a single file, Amazon Translate uses that files as input. If more than one file begins with the prefix, Amazon Translate uses all of them as input.ContentType -> (string)
Describes the format of the data that you submit to Amazon Translate as input. You can specify one of the following multipurpose internet mail extension (MIME) types:
text/html
: The input data consists of one or more HTML files. Amazon Translate translates only the text that resides in thehtml
element in each file.
text/plain
: The input data consists of one or more unformatted text files. Amazon Translate translates every character in this type of input.
application/vnd.openxmlformats-officedocument.wordprocessingml.document
: The input data consists of one or more Word documents (.docx).
application/vnd.openxmlformats-officedocument.presentationml.presentation
: The input data consists of one or more PowerPoint Presentation files (.pptx).
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
: The input data consists of one or more Excel Workbook files (.xlsx).
application/x-xliff+xml
: The input data consists of one or more XML Localization Interchange File Format (XLIFF) files (.xlf). Amazon Translate supports only XLIFF version 1.2.Warning
If you structure your input data as HTML, ensure that you set this parameter to
text/html
. By doing so, you cut costs by limiting the translation to the contents of thehtml
element in each file. Otherwise, if you set this parameter totext/plain
, your costs will cover the translation of every character.Shorthand Syntax:
S3Uri=string,ContentType=stringJSON Syntax:
{ "S3Uri": "string", "ContentType": "string" }
--output-data-config
(structure)Specifies the S3 folder to which your job output will be saved.
S3Uri -> (string)
The URI of the S3 folder that contains a translation job’s output file. The folder must be in the same Region as the API endpoint that you are calling.
EncryptionKey -> (structure)
The encryption key used to encrypt this object.
Type -> (string)
The type of encryption key used by Amazon Translate to encrypt this object.
Id -> (string)
The Amazon Resource Name (ARN) of the encryption key being used to encrypt this object.
Shorthand Syntax:
S3Uri=string,EncryptionKey={Type=string,Id=string}JSON Syntax:
{ "S3Uri": "string", "EncryptionKey": { "Type": "KMS", "Id": "string" } }
--data-access-role-arn
(string)The Amazon Resource Name (ARN) of an AWS Identity Access and Management (IAM) role that grants Amazon Translate read access to your input data. For more information, see Identity and access management .
--source-language-code
(string)The language code of the input language. For a list of language codes, see Supported languages .
Amazon Translate does not automatically detect a source language during batch translation jobs.
--target-language-codes
(list)The target languages of the translation job. Enter up to 10 language codes. Each input file is translated into each target language.
Each language code is two or five characters long. For a list of language codes, see Supported languages .
(string)
Syntax:
"string" "string" ...
--terminology-names
(list)The name of a custom terminology resource to add to the translation job. This resource lists examples source terms and the desired translation for each term.
This parameter accepts only one custom terminology resource.
If you specify multiple target languages for the job, translate uses the designated terminology for each requested target language that has an entry for the source term in the terminology file.
For a list of available custom terminology resources, use the ListTerminologies operation.
For more information, see Custom terminology .
(string)
Syntax:
"string" "string" ...
--parallel-data-names
(list)The name of a parallel data resource to add to the translation job. This resource consists of examples that show how you want segments of text to be translated. If you specify multiple target languages for the job, the parallel data file must include translations for all the target languages.
When you add parallel data to a translation job, you create an Active Custom Translation job.
This parameter accepts only one parallel data resource.
Note
Active Custom Translation jobs are priced at a higher rate than other jobs that don’t use parallel data. For more information, see Amazon Translate pricing .
For a list of available parallel data resources, use the ListParallelData operation.
For more information, see Customizing your translations with parallel data .
(string)
Syntax:
"string" "string" ...
--client-token
(string)A unique identifier for the request. This token is generated for you when using the Amazon Translate SDK.
--settings
(structure)Settings to configure your translation output, including the option to set the formality level of the output text and the option to mask profane words and phrases.
Formality -> (string)
You can optionally specify the desired level of formality for translations to supported target languages. The formality setting controls the level of formal language usage (also known as register ) in the translation output. You can set the value to informal or formal. If you don’t specify a value for formality, or if the target language doesn’t support formality, the translation will ignore the formality setting.
If you specify multiple target languages for the job, translate ignores the formality setting for any unsupported target language.
For a list of target languages that support formality, see Setting Formality in the Amazon Translate Developer Guide.
Profanity -> (string)
Enable the profanity setting if you want Amazon Translate to mask profane words and phrases in your translation output.
To mask profane words and phrases, Amazon Translate replaces them with the grawlix string “?$#@$“. This 5-character sequence is used for each profane word or phrase, regardless of the length or number of words.
Amazon Translate doesn’t detect profanity in all of its supported languages. For languages that support profanity detection, see Masking profanity in the Amazon Translate Developer Guide.
If you specify multiple target languages for the job, all the target languages must support profanity masking. If any of the target languages don’t support profanity masking, the translation job won’t mask profanity for any target language.
Shorthand Syntax:
Formality=string,Profanity=stringJSON Syntax:
{ "Formality": "FORMAL"|"INFORMAL", "Profanity": "MASK" }
--cli-input-json
|--cli-input-yaml
(string) Reads arguments from the JSON string provided. The JSON string follows the format provided by--generate-cli-skeleton
. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with--cli-input-yaml
.
--generate-cli-skeleton
(string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the valueinput
, prints a sample input JSON that can be used as an argument for--cli-input-json
. Similarly, if providedyaml-input
it will print a sample input YAML that can be used with--cli-input-yaml
. If provided with the valueoutput
, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.Global Options¶
--debug
(boolean)Turn on debug logging.
--endpoint-url
(string)Override command’s default URL with the given URL.
--no-verify-ssl
(boolean)By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.
--no-paginate
(boolean)Disable automatic pagination.
--output
(string)The formatting style for command output.
json
text
table
yaml
yaml-stream
--query
(string)A JMESPath query to use in filtering the response data.
--profile
(string)Use a specific profile from your credential file.
--region
(string)The region to use. Overrides config/env settings.
--version
(string)Display the version of this tool.
--color
(string)Turn on/off color output.
on
off
auto
--no-sign-request
(boolean)Do not sign requests. Credentials will not be loaded if this argument is provided.
--ca-bundle
(string)The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.
--cli-read-timeout
(int)The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.
--cli-connect-timeout
(int)The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.
--cli-binary-format
(string)The formatting style to be used for binary blobs. The default format is base64. The base64 format expects binary blobs to be provided as a base64 encoded string. The raw-in-base64-out format preserves compatibility with AWS CLI V1 behavior and binary values must be passed literally. When providing contents from a file that map to a binary blob
fileb://
will always be treated as binary and use the file contents directly regardless of thecli-binary-format
setting. When usingfile://
the file contents will need to properly formatted for the configuredcli-binary-format
.
base64
raw-in-base64-out
--no-cli-pager
(boolean)Disable cli pager for output.
--cli-auto-prompt
(boolean)Automatically prompt for CLI input parameters.
--no-cli-auto-prompt
(boolean)Disable automatically prompt for CLI input parameters.
Output¶
JobId -> (string)
The identifier generated for the job. To get the status of a job, use this ID with the DescribeTextTranslationJob operation.
JobStatus -> (string)
The status of the job. Possible values include:
SUBMITTED
- The job has been received and is queued for processing.
IN_PROGRESS
- Amazon Translate is processing the job.
COMPLETED
- The job was successfully completed and the output is available.
COMPLETED_WITH_ERROR
- The job was completed with errors. The errors can be analyzed in the job’s output.
FAILED
- The job did not complete. To get details, use the DescribeTextTranslationJob operation.
STOP_REQUESTED
- The user who started the job has requested that it be stopped.
STOPPED
- The job has been stopped.