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author manager ms.service ms.topic ms.date ms.custom ms.author
jboback
nitinme
azure-ai-language
include
03/29/2024
devx-track-java
jboback

Reference documentation | More samples | Package (Maven) | Library source code

Use this quickstart to create a language detection application with the client library for Java. In the following example, you create a Java application that can identify the language a text sample was written in.

Prerequisites

Setting up

[!INCLUDE Create an Azure resource]

[!INCLUDE Get your key and endpoint]

[!INCLUDE Create environment variables]

Add the client library

Create a Maven project in your preferred IDE or development environment. Then add the following dependency to your project's pom.xml file. You can find the implementation syntax for other build tools online.

<dependencies>
     <dependency>
        <groupId>com.azure</groupId>
        <artifactId>azure-ai-textanalytics</artifactId>
        <version>5.2.0</version>
    </dependency>
</dependencies>

Code example

Create a Java file named Example.java. Open the file and copy the below code. Then run the code.

import com.azure.core.credential.AzureKeyCredential;
import com.azure.ai.textanalytics.models.*;
import com.azure.ai.textanalytics.TextAnalyticsClientBuilder;
import com.azure.ai.textanalytics.TextAnalyticsClient;

public class Example {

    // This example requires environment variables named "LANGUAGE_KEY" and "LANGUAGE_ENDPOINT"
    private static String languageKey = System.getenv("LANGUAGE_KEY");
    private static String languageEndpoint = System.getenv("LANGUAGE_ENDPOINT");

    public static void main(String[] args) {
        TextAnalyticsClient client = authenticateClient(languageKey, languageEndpoint);
        detectLanguageExample(client);
    }
    // Method to authenticate the client object with your key and endpoint
    static TextAnalyticsClient authenticateClient(String key, String endpoint) {
        return new TextAnalyticsClientBuilder()
                .credential(new AzureKeyCredential(key))
                .endpoint(endpoint)
                .buildClient();
    }
    // Example method for detecting the language of text
    static void detectLanguageExample(TextAnalyticsClient client)
    {
        // The text to be analyzed.
        String text = "Ce document est rédigé en Français.";

        DetectedLanguage detectedLanguage = client.detectLanguage(text);
        System.out.printf("Detected primary language: %s, ISO 6391 name: %s, score: %.2f.%n",
                detectedLanguage.getName(),
                detectedLanguage.getIso6391Name(),
                detectedLanguage.getConfidenceScore());
    }
}

Output

Detected primary language: French, ISO 6391 name: fr, score: 1.00.