Ultimate Guide to Language Detection with “language-detect”
The language-detect library is a powerful and efficient tool for determining the natural language of given text. Whether you are building a multi-lingual application or simply need to handle various languages intelligently, language-detect offers a multitude of APIs to aid you in your tasks.
Introduction to language-detect
The language-detect
library enables applications to accurately identify the languages of input text. It is lightweight and simple to use, making it an excellent choice for developers looking to integrate language detection into their projects.
Key APIs and Their Uses
Below are some of the most useful APIs provided by language-detect
along with code snippets to demonstrate their usage:
Detecting Language from Text
You can quickly identify the language of a piece of text with the detect
method:
import language_detect detector = language_detect.Detector() result = detector.detect("This is a test sentence.") print(result)
Detecting Language with Confidence Scores
language-detect
also allows you to obtain a confidence score for the detected language:
import language_detect detector = language_detect.Detector() result = detector.detect_with_confidence("Ceci est une phrase de test.") print(result)
Getting Probabilities for All Languages
To get a probability distribution over all supported languages, you can use the get_probabilities
method:
import language_detect detector = language_detect.Detector() probabilities = detector.get_probabilities("Dies ist ein Test.") for language, probability in probabilities.items(): print(f"{language}: {probability}")
Loading Custom Language Profiles
If you need to use custom language profiles, language-detect
supports this as well:
import language_detect detector = language_detect.Detector(custom_profiles="path/to/custom/profiles") result = detector.detect("これはテスト文です。") print(result)
Application Example
Here is an example of a simple application that integrates the various APIs offered by language-detect
:
from flask import Flask, request, jsonify import language_detect app = Flask(__name__) detector = language_detect.Detector() @app.route('/detect', methods=['POST']) def detect_language(): text = request.json.get('text') if not text: return jsonify({'error': 'No text provided'}), 400 result = detector.detect_with_confidence(text) return jsonify({'language': result[0], 'confidence': result[1]}) if __name__ == '__main__': app.run(debug=True)
This Flask application exposes an endpoint to detect the language of a given text, providing a confidence score for the detected language.
By leveraging language-detect
, you can enhance your multi-lingual applications, providing users with a seamless and intuitive experience.
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