Introduction to Language Detect
Language detection is a crucial component in modern software applications. Whether you are trying to guess the language of a document, detect multiple languages on a webpage, or filter content by language, a reliable language detection library can be highly valuable. language-detect
is one such library that provides powerful features for language identification across various applications.
Key Features of Language Detect
The language-detect
library comes packed with numerous APIs to help you achieve different language identification tasks. Below are some of the useful APIs with examples to help you get started:
1. Basic Language Detection
Use this API to detect the language of a given text:
import LanguageDetect from 'language-detect';
const detector = new LanguageDetect();
const languages = detector.detect('This is a simple test.');
console.log(languages);
// Output: [{ language: 'English', percent: 100 }]
2. Detecting Multiple Languages
If you need to detect multiple languages within a text, use the following API:
const multiLangText = 'This is a simple test. Cela semble bon. Esto es genial.';
const multiLangDetection = detector.detectAll(multiLangText);
console.log(multiLangDetection);
// Output: [ { language: 'English', percent: 50 }, { language: 'French', percent: 30 }, { language: 'Spanish', percent: 20 }]
3. Supported Languages
You can get a list of supported languages by the library:
const supportedLanguages = detector.getLanguages();
console.log(supportedLanguages);
// Output: [ 'English', 'French', 'Spanish', 'German', ... ]
4. Custom Language Profiles
Sometimes, you might want to add or customize language profiles. Here is how you can do that:
const customProfile = {
name: 'CustomLang',
frequency: { ... },
unicode: { ... }
};
detector.addProfile(customProfile);
// Now the custom language is part of the detection process
5. Language Detection with Confidence Score
Get the most probable language with confidence scores:
const detectionWithConfidence = detector.detect('Dies ist ein Test.');
console.log(detectionWithConfidence);
// Output: [{ language: 'German', percent: 100 }]
Application Example
To put it all together, let’s consider an example of a multilingual content filter application where we leverage the language-detect
library for language identification:
import LanguageDetect from 'language-detect';
const detector = new LanguageDetect();
// Sample content
const contents = [
'Hello, this is an English content.',
'Bonjour, ceci est un contenu français.',
'Hola, este es un contenido en español.'
];
// Function to filter languages
const filterContentByLanguage = (contents, language) => {
return contents.filter(content => {
const detectedLanguages = detector.detect(content);
return detectedLanguages.some(langObj => langObj.language === language);
});
};
// Filtering English content
const englishContents = filterContentByLanguage(contents, 'English');
console.log(englishContents);
// Output: ['Hello, this is an English content.']
By integrating the language-detect
library in our application, we can readily identify and filter content based on various languages, thus making our application more versatile and user-friendly.
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