npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

n-gram-lang-detect

v1.1.1

Published

n-gram-lang-detect is a Node.js package designed to detect the language of a given string using n-gram analysis.

Downloads

35

Readme

n-gram-lang-detect

n-gram-lang-detect is a Node.js package designed to detect the language of a given string using n-gram analysis. It supports generating language profiles from datasets. Currently, it supports Spanish (ES), English (EN), and Portuguese (PR) languages.

This package is trained using the Universal Declaration of Human Rights in the respective languages. It also generates text using localisms from Argentina, Uruguay, and Brazil.

Installation

To install n-gram-lang-detect you can use npm:

npm install n-gram-lang-detect

How to use

const { detectLanguage } = require('n-gram-lang-detect');
import { detectLanguage } from 'n-gram-lang-detect';

Detect language

const text = 'Hola, ¿cómo estás?';
const detectedLanguage = detectLanguage(text);
console.log(detectedLanguage);  // { detectedLanguage: string; similarityScore: number }
const text = 'Hola, ¿cómo estás?';
const similarityThreshold = 0.004; // this is the default value
const detectedLanguage = detectLanguage(text, similarityThreshold);
console.log(detectedLanguage);  // { detectedLanguage: string; similarityScore: number }
const text = 'Hola, ¿cómo estás?';
const similarityThreshold = 0.004;
const customTerminology = [
    { "term": "championes", "mappedTerm": "zapatillas", "locale": "es" },
    { "term": "romanitas", "mappedTerm": "chancletas", "locale": "es" },
    { "term": "capacete de ciclismo", "mappedTerm": "Capacete de proteção", "locale": "pt" },
]
const detectedLanguage = detectLanguage(text, similarityThreshold,customTerminology);
console.log(detectedLanguage);  // { detectedLanguage: string; similarityScore: number }

Parameters

  • text: The text to detect the language.
  • similarityThreshold: The minimum similarity score to consider a language detected. Default value is 0.004.
  • customTerminology: A list of custom terminology to use in the detection. The recommended format is an array of objects with the following properties: term, mappedTerm, locale and the mappedTerm should be in the same language as the locale and should be a synonym of the term.