svonidze / francd

Natural language detection tool. Written in Dart, a derivative of https://github.com/wooorm/franc/

franc

Natural language detection tool.

Features

• Supports 187 languages;
• no external dependencies;
• 100% Dart.

How does it work?

The algorithm is based on the trigram language models, which is a particular case of n-grams. To understand the idea, please check the original whitepaper Cavnar and Trenkle '94: N-Gram-Based Text Categorization'.

Requirements

Dart 2.0.0 or higher.

Usage

import

import 'package:franc/franc.dart';

make object

final franc = Franc();

detect languages:

print(await franc.detectLanguages("Я пришёл к тебе с приветом"));

yields:

{srp: 1.0, bul: 0.9960022844089091, bos: 0.9954311821816105, rus: 0.8772130211307824, mkd: 0.8663620788121074, ukr: 0.8223872073101085, koi: 0.6419189034837236, bel: 0.608223872073101, uzn: 0.5294117647058824, kbd: 0.4848657909765848, kaz: 0.4557395773843518, kir: 0.4351798972015991, azj: 0.3426613363792119}

Derivation

This is a derivative of Franc (JavaScript, MIT) by Titus Wormer.