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Sprache erkennen (Advanced Edition)

Sprache eines Textstrings erkennen

Weitere Informationen

Eine ausführliche Dokumentation, die dieses Codebeispiel enthält, finden Sie hier:

Sprachen erkennen (Advanced)

Codebeispiel

Go

Folgen Sie der Einrichtungsanleitung für Go in der Cloud Translation-Kurzanleitung zur Verwendung von Clientbibliotheken, bevor Sie dieses Beispiel anwenden. Weitere Informationen finden Sie in der Referenzdokumentation zu Cloud Translation Go API.

Richten Sie die Standardanmeldedaten für Anwendungen ein, um sich bei Cloud Translation zu authentifizieren. Weitere Informationen finden Sie unter Authentifizierung für eine lokale Entwicklungsumgebung einrichten.

import (
	"context"
	"fmt"
	"io"

	translate "cloud.google.com/go/translate/apiv3"
	"cloud.google.com/go/translate/apiv3/translatepb"
)

// detectLanguage detects the language of a text string.
func detectLanguage(w io.Writer, projectID string, text string) error {
	// projectID := "my-project-id"
	// text := "Hello, world!"

	ctx := context.Background()
	client, err := translate.NewTranslationClient(ctx)
	if err != nil {
		return fmt.Errorf("NewTranslationClient: %w", err)
	}
	defer client.Close()

	req := &translatepb.DetectLanguageRequest{
		Parent:   fmt.Sprintf("projects/%s/locations/global", projectID),
		MimeType: "text/plain", // Mime types: "text/plain", "text/html"
		Source: &translatepb.DetectLanguageRequest_Content{
			Content: text,
		},
	}

	resp, err := client.DetectLanguage(ctx, req)
	if err != nil {
		return fmt.Errorf("DetectLanguage: %w", err)
	}

	// Display list of detected languages sorted by detection confidence.
	// The most probable language is first.
	for _, language := range resp.GetLanguages() {
		// The language detected.
		fmt.Fprintf(w, "Language code: %v\n", language.GetLanguageCode())
		// Confidence of detection result for this language.
		fmt.Fprintf(w, "Confidence: %v\n", language.GetConfidence())
	}

	return nil
}

Java

Folgen Sie der Einrichtungsanleitung für Java in der Cloud Translation-Kurzanleitung zur Verwendung von Clientbibliotheken, bevor Sie dieses Beispiel anwenden. Weitere Informationen finden Sie in der Referenzdokumentation zu Cloud Translation Java API.

import com.google.cloud.translate.v3.DetectLanguageRequest;
import com.google.cloud.translate.v3.DetectLanguageResponse;
import com.google.cloud.translate.v3.DetectedLanguage;
import com.google.cloud.translate.v3.LocationName;
import com.google.cloud.translate.v3.TranslationServiceClient;
import java.io.IOException;

public class DetectLanguage {

  public static void detectLanguage() throws IOException {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "YOUR-PROJECT-ID";
    String text = "your-text";

    detectLanguage(projectId, text);
  }

  // Detecting the language of a text string
  public static void detectLanguage(String projectId, String text) throws IOException {

    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (TranslationServiceClient client = TranslationServiceClient.create()) {
      // Supported Locations: `global`, [glossary location], or [model location]
      // Glossaries must be hosted in `us-central1`
      // Custom Models must use the same location as your model. (us-central1)
      LocationName parent = LocationName.of(projectId, "global");

      // Supported Mime Types: https://cloud.google.com/translate/docs/supported-formats
      DetectLanguageRequest request =
          DetectLanguageRequest.newBuilder()
              .setParent(parent.toString())
              .setMimeType("text/plain")
              .setContent(text)
              .build();

      DetectLanguageResponse response = client.detectLanguage(request);

      // Display list of detected languages sorted by detection confidence.
      // The most probable language is first.
      for (DetectedLanguage language : response.getLanguagesList()) {
        // The language detected
        System.out.printf("Language code: %s\n", language.getLanguageCode());
        // Confidence of detection result for this language
        System.out.printf("Confidence: %s\n", language.getConfidence());
      }
    }
  }
}

Node.js

Folgen Sie der Einrichtungsanleitung für Node.js in der Cloud Translation-Kurzanleitung zur Verwendung von Clientbibliotheken, bevor Sie dieses Beispiel anwenden. Weitere Informationen finden Sie in der Referenzdokumentation zu Cloud Translation Node.js API.

/**
 * TODO(developer): Uncomment these variables before running the sample.
 */
// const projectId = 'YOUR_PROJECT_ID';
// const location = 'global';
// const text = 'text to translate';

// Imports the Google Cloud Translation library
const {TranslationServiceClient} = require('@google-cloud/translate');

// Instantiates a client
const translationClient = new TranslationServiceClient();

async function detectLanguage() {
  // Construct request
  const request = {
    parent: `projects/${projectId}/locations/${location}`,
    content: text,
  };

  // Run request
  const [response] = await translationClient.detectLanguage(request);

  console.log('Detected Languages:');
  for (const language of response.languages) {
    console.log(`Language Code: ${language.languageCode}`);
    console.log(`Confidence: ${language.confidence}`);
  }
}

detectLanguage();

PHP

Folgen Sie der Einrichtungsanleitung für PHP in der Cloud Translation-Kurzanleitung zur Verwendung von Clientbibliotheken, bevor Sie dieses Beispiel anwenden. Weitere Informationen finden Sie in der Referenzdokumentation zu Cloud Translation PHP API.

use Google\Cloud\Translate\V3\Client\TranslationServiceClient;
use Google\Cloud\Translate\V3\DetectLanguageRequest;

/**
 * @param string $text      The text whose language to detect.  This will be detected as en.
 * @param string $projectId Your Google Cloud project ID.
 */
function v3_detect_language(string $text, string $projectId): void
{
    $translationServiceClient = new TranslationServiceClient();

    /** Uncomment and populate these variables in your code */
    // $text = 'Hello, world!';
    // $projectId = '[Google Cloud Project ID]';
    $formattedParent = $translationServiceClient->locationName($projectId, 'global');

    // Optional. Can be "text/plain" or "text/html".
    $mimeType = 'text/plain';

    try {
        $request = (new DetectLanguageRequest())
            ->setParent($formattedParent)
            ->setContent($text)
            ->setMimeType($mimeType);
        $response = $translationServiceClient->detectLanguage($request);
        // Display list of detected languages sorted by detection confidence.
        // The most probable language is first.
        foreach ($response->getLanguages() as $language) {
            // The language detected
            printf('Language code: %s' . PHP_EOL, $language->getLanguageCode());
            // Confidence of detection result for this language
            printf('Confidence: %s' . PHP_EOL, $language->getConfidence());
        }
    } finally {
        $translationServiceClient->close();
    }
}

Python

Folgen Sie der Einrichtungsanleitung für Python in der Cloud Translation-Kurzanleitung zur Verwendung von Clientbibliotheken, bevor Sie dieses Beispiel anwenden. Weitere Informationen finden Sie in der Referenzdokumentation zu Cloud Translation Python API.

from google.cloud import translate


def detect_language(
    project_id: str = "YOUR_PROJECT_ID",
) -> translate.DetectLanguageResponse:
    """Detecting the language of a text string.

    Args:
        project_id: The GCP project ID.

    Returns:
        The detected language of the text.
    """
    client = translate.TranslationServiceClient()

    location = "global"

    parent = f"projects/{project_id}/locations/{location}"

    # Detail on supported types can be found here:
    # https://cloud.google.com/translate/docs/supported-formats
    response = client.detect_language(
        content="Hello, world!",
        parent=parent,
        mime_type="text/plain",  # mime types: text/plain, text/html
    )

    # Display list of detected languages sorted by detection confidence.
    # The most probable language is first.
    for language in response.languages:
        # The language detected
        print(f"Language code: {language.language_code}")
        # Confidence of detection result for this language
        print(f"Confidence: {language.confidence}")

    return response

Nächste Schritte

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