언어 인식(Basic)

import (
	"context"
	"fmt"

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

func detectLanguage(text string) (*translate.Detection, error) {
	// text := "こんにちは世界"
	ctx := context.Background()
	client, err := translate.NewClient(ctx)
	if err != nil {
		return nil, fmt.Errorf("translate.NewClient: %w", err)
	}
	defer client.Close()
	lang, err := client.DetectLanguage(ctx, []string{text})
	if err != nil {
		return nil, fmt.Errorf("DetectLanguage: %w", err)
	}
	if len(lang) == 0 || len(lang[0]) == 0 {
		return nil, fmt.Errorf("DetectLanguage return value empty")
	}
	return &lang[0][0], nil
}

// TODO(developer): Uncomment these lines.
// import com.google.cloud.translate.*;
// Translate translate = TranslateOptions.getDefaultInstance().getService();

List<String> texts = new LinkedList<>();
texts.add("Hello, World!");
texts.add("¡Hola Mundo!");
List<Detection> detections = translate.detect(texts);

System.out.println("Language(s) detected:");
for (Detection detection : detections) {
  System.out.printf("\t%s\n", detection);
}

// Imports the Google Cloud client library
const {Translate} = require('@google-cloud/translate').v2;

// Creates a client
const translate = new Translate();

/**
 * TODO(developer): Uncomment the following line before running the sample.
 */
// const text = 'The text for which to detect language, e.g. Hello, world!';

// Detects the language. "text" can be a string for detecting the language of
// a single piece of text, or an array of strings for detecting the languages
// of multiple texts.
async function detectLanguage() {
  let [detections] = await translate.detect(text);
  detections = Array.isArray(detections) ? detections : [detections];
  console.log('Detections:');
  detections.forEach(detection => {
    console.log(`${detection.input} => ${detection.language}`);
  });
}

detectLanguage();

def detect_language(text: str) -> dict:
    """Detects the text's language."""
    from google.cloud import translate_v2 as translate

    translate_client = translate.Client()

    # Text can also be a sequence of strings, in which case this method
    # will return a sequence of results for each text.
    result = translate_client.detect_language(text)

    print(f"Text: {text}")
    print("Confidence: {}".format(result["confidence"]))
    print("Language: {}".format(result["language"]))

    return result