translate_translate_text: Translates input text from the source language to the target...

View source: R/translate_operations.R

translate_translate_textR Documentation

Translates input text from the source language to the target language

Description

Translates input text from the source language to the target language. For a list of available languages and language codes, see Supported languages.

See https://www.paws-r-sdk.com/docs/translate_translate_text/ for full documentation.

Usage

translate_translate_text(
  Text,
  TerminologyNames = NULL,
  SourceLanguageCode,
  TargetLanguageCode,
  Settings = NULL
)

Arguments

Text

[required] The text to translate. The text string can be a maximum of 10,000 bytes long. Depending on your character set, this may be fewer than 10,000 characters.

TerminologyNames

The name of a terminology list file to add to the translation job. This file provides source terms and the desired translation for each term. A terminology list can contain a maximum of 256 terms. You can use one custom terminology resource in your translation request.

Use the list_terminologies operation to get the available terminology lists.

For more information about custom terminology lists, see Custom terminology.

SourceLanguageCode

[required] The language code for the language of the source text. For a list of language codes, see Supported languages.

To have Amazon Translate determine the source language of your text, you can specify auto in the SourceLanguageCode field. If you specify auto, Amazon Translate will call Amazon Comprehend to determine the source language.

If you specify auto, you must send the translate_text request in a region that supports Amazon Comprehend. Otherwise, the request returns an error indicating that autodetect is not supported.

TargetLanguageCode

[required] The language code requested for the language of the target text. For a list of language codes, see Supported languages.

Settings

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.


paws.machine.learning documentation built on Sept. 12, 2023, 1:14 a.m.