Amazon Translate
Developer Guide

Using Custom Terminologies

When using a Custom Terminology when translating text using the TranslateText operation, the process is similar to when you translate text without one. The difference is that when you call the operation with the Custom Terminology, you also include the optional TerminologyNames parameter.

For example, if you have the following terminology file called Amazon_Family.csv attached to your account:

en,fr Amazon Family,Amazon Famille

You can use the following to call the Custom Terminology to translate your text using the CLI:

Note

This example is formatted for Unix, Linux, and macOS. For Windows, replace the backslash (\) Unix continuation character at the end of each line with a caret (^).

aws translate translate-text \ --region region \ --source-language-code "en" \ --target-language-code "fr" \ --terminology-names "Amazon_Family" \ --text "Have you ever shopped with Amazon Family?"

This uses the selected Custom Terminology to translate this text as "Avez-vous déjà fait des achats avec Amazon Famille?" instead of the direct (but undesirable) translation "Avez-vous déjà fait des achats avec Famille Amazon?"

Using Python, the same task can be seen with the following:

import boto3 translate = boto3.client(service_name='translate') print("Translating 'Have you ever shopped with Amazon Family?' from English to French with the 'Amazon_Family' custom terminology...") response = translate.translate_text(Text="Have you ever shopped with Amazon Family?", TerminologyNames=["Amazon_Family"], SourceLanguageCode="en", TargetLanguageCode="fr") print("Translated text: " + response.get('TranslatedText')) print("\n")

For more information on using the Amazon Translate operations with Custom Terminologies, see API Actions.