Azure TextTranslation REST client library for JavaScript - version 1.0.0-beta.1
Text translation is a cloud-based REST API feature of the Translator service that uses neural machine translation technology to enable quick and accurate source-to-target text translation in real time across all supported languages.
The following methods are supported by the Text Translation feature:
Languages. Returns a list of languages supported by Translate, Transliterate, and Dictionary Lookup operations.
Translate. Renders single source-language text to multiple target-language texts with a single request.
Transliterate. Converts characters or letters of a source language to the corresponding characters or letters of a target language.
Detect. Returns the source code language code and a boolean variable denoting whether the detected language is supported for text translation and transliteration.
Dictionary lookup. Returns equivalent words for the source term in the target language.
Dictionary example Returns grammatical structure and context examples for the source term and target term pair.
Please rely heavily on our REST client docs to use this library
Key links:
Getting started
Currently supported environments
- LTS versions of Node.js
- Latest versions of Edge, Chrome, Safar and Firefox
Prerequisites
- An existing Translator service or Cognitive Services resource.
Install the @azure-rest/ai-translation-text
package
Install the Azure Text Translation REST client library for JavaScript with npm
:
npm install @azure-rest/ai-translation-text
Create a Translator service resource
You can create Translator resource following Create a Translator resource.
Browser support
JavaScript Bundle
To use this client library in the browser, first you need to use a bundler. For details on how to do this, please refer to our bundling documentation.
Authenticate the client
Interaction with the service using the client library begins with creating an instance of the TextTranslationClient class. You will need an API key or TokenCredential
to instantiate a client object. For more information regarding authenticating with cognitive services, see Authenticate requests to Translator Service.
Get an API key
You can get the endpoint
, API key
and Region
from the Cognitive Services resource or Translator service resource information in the Azure Portal.
Alternatively, use the Azure CLI snippet below to get the API key from the Translator service resource.
az cognitiveservices account keys list --resource-group <your-resource-group-name> --name <your-resource-name>
Create a TextTranslationClient
using an API key and Region credential
Once you have the value for the API key and Region, create an TranslatorCredential
.
With the value of the TranslatorCredential
you can create the TextTranslationClient:
const translateCedential = new TranslatorCredential(apiKey, region);
const translationClient = TextTranslationClient(endpoint, translateCedential);
Examples
The following section provides several code snippets using the client
created above, and covers the main features present in this client library.
Get Supported Languages
Gets the set of languages currently supported by other operations of the Translator.
const langResponse = await translationClient.path("/languages").get();
if (isUnexpected(langResponse)) {
throw langResponse.body;
}
const languages = langResponse.body;
if (languages.translation) {
console.log("Translated languages:");
for (const key in languages.translation) {
const translationLanguage = languages.translation[key];
console.log(`${key} -- name: ${translationLanguage.name} (${translationLanguage.nativeName})`);
}
}
if (languages.transliteration) {
console.log("Transliteration languages:");
for (const key in languages.transliteration) {
const transliterationLanguage = languages.transliteration[key];
console.log(
`${key} -- name: ${transliterationLanguage.name} (${transliterationLanguage.nativeName})`
);
}
}
if (languages.dictionary) {
console.log("Dictionary languages:");
for (const key in languages.dictionary) {
const dictionaryLanguage = languages.dictionary[key];
console.log(
`${key} -- name: ${dictionaryLanguage.name} (${dictionaryLanguage.nativeName}), supported target languages count: ${dictionaryLanguage.translations.length}`
);
}
}
Please refer to the service documentation for a conceptual discussion of languages.
Translate
Renders single source-language text to multiple target-language texts with a single request.
const inputText = [{ text: "This is a test." }];
const parameters = {
to: "cs",
from: "en",
};
const translateResponse = await translationClient.path("/translate").post({
body: inputText,
queryParameters: parameters,
});
if (isUnexpected(translateResponse)) {
throw translateResponse.body;
}
const translations = translateResponse.body;
for (const translation of translations) {
console.log(
`Text was translated to: '${translation?.translations[0]?.to}' and the result is: '${translation?.translations[0]?.text}'.`
);
}
Please refer to the service documentation for a conceptual discussion of translate.
Transliterate
Converts characters or letters of a source language to the corresponding characters or letters of a target language.
const inputText = [{ text: "这是个测试。" }];
const parameters = {
language: "zh-Hans",
fromScript: "Hans",
toScript: "Latn",
};
const transliterateResponse = await translationClient.path("/transliterate").post({
body: inputText,
queryParameters: parameters,
});
if (isUnexpected(transliterateResponse)) {
throw transliterateResponse.body;
}
const translations = transliterateResponse.body;
for (const transliteration of translations) {
console.log(
`Input text was transliterated to '${transliteration?.script}' script. Transliterated text: '${transliteration?.text}'.`
);
}
Please refer to the service documentation for a conceptual discussion of transliterate.
Break Sentence
Identifies the positioning of sentence boundaries in a piece of text.
const inputText = [{ text: "zhè shì gè cè shì。" }];
const parameters = {
language: "zh-Hans",
script: "Latn",
};
const breakSentenceResponse = await translationClient.path("/breaksentence").post({
body: inputText,
queryParameters: parameters,
});
if (isUnexpected(breakSentenceResponse)) {
throw breakSentenceResponse.body;
}
const breakSentences = breakSentenceResponse.body;
for (const breakSentence of breakSentences) {
console.log(`The detected sentece boundaries: '${breakSentence?.sentLen.join(", ")}'.`);
}
Please refer to the service documentation for a conceptual discussion of break sentence.
Dictionary Lookup
Returns equivalent words for the source term in the target language.
const inputText = [{ text: "fly" }];
const parameters = {
to: "es",
from: "en",
};
const dictionaryResponse = await translationClient.path("/dictionary/lookup").post({
body: inputText,
queryParameters: parameters,
});
if (isUnexpected(dictionaryResponse)) {
throw dictionaryResponse.body;
}
const dictionaryEntries = dictionaryResponse.body;
for (const dictionaryEntry of dictionaryEntries) {
console.log(
`For the given input ${dictionaryEntry?.translations?.length} entries were found in the dictionary.`
);
console.log(
`First entry: '${dictionaryEntry?.translations[0]?.displayTarget}', confidence: ${dictionaryEntry?.translations[0]?.confidence}.`
);
}
Please refer to the service documentation for a conceptual discussion of dictionary lookup.
Dictionary Examples
Returns grammatical structure and context examples for the source term and target term pair.
const inputText = [{ text: "fly", translation: "volar" }];
const parameters = {
to: "es",
from: "en",
};
const dictionaryResponse = await translationClient.path("/dictionary/examples").post({
body: inputText,
queryParameters: parameters,
});
if (isUnexpected(dictionaryResponse)) {
throw dictionaryResponse.body;
}
const dictionaryExamples = dictionaryResponse.body;
for (const dictionaryExample of dictionaryExamples) {
console.log(
`For the given input ${dictionaryExample?.examples?.length} examples were found in the dictionary.`
);
const firstExample = dictionaryExample?.examples[0];
console.log(
`Example: '${firstExample.targetPrefix + firstExample.targetTerm + firstExample.targetSuffix}'.`
);
}
Please refer to the service documentation for a conceptual discussion of dictionary examples.
Troubleshooting
When you interact with the Translator Service using the TextTranslator client library, errors returned by the Translator service correspond to the same HTTP status codes returned for REST API requests.
For example, if you submit a translation request without a target translate language, a 400
error is returned, indicating "Bad Request".
You can find the different error codes returned by the service in the Service Documentation.
Logging
Enabling logging may help uncover useful information about failures. In order to see a log of HTTP requests and responses, set the AZURE_LOG_LEVEL
environment variable to info
. Alternatively, logging can be enabled at runtime by calling setLogLevel
in the @azure/logger
:
const { setLogLevel } = require("@azure/logger");
setLogLevel("info");
For more detailed instructions on how to enable logs, you can look at the @azure/logger package docs.
Azure SDK for JavaScript