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 🙏

© 2026 – Pkg Stats / Ryan Hefner

ve-japanese

v1.0.3

Published

A Japanese language parser based on Ve, using kuromoji.

Readme

ve-japanese

A Japanese language parser, ported from the original ve project.

This package intelligently groups inflected forms (like verbs and adjectives) into single, meaningful words, while preserving their dictionary forms (lemmas).

It uses kuromoji.js as its underlying tokenizer and is fully self-contained, requiring no external dependencies like native MeCab.

Usage

First, import the parse function from the package.

const { parse } = require('./dist/index.js'); // Adjust the path if needed

async function main() {
    const text = 'これ食べました';
    const words = await parse(text);

    // The result is an array of Word objects
    console.log(words);
}

main();

Getting the Dictionary Form (Lemma)

Each object in the returned array represents a word. The .word property gives you the surface form from the text, while the .lemma property gives you its basic, or dictionary, form.

This is especially useful for conjugated verbs.

const { parse } = require('./dist/index.js');

async function findLemmas() {
    const text = 'これ食べました';
    const words = await parse(text);

    const verb = words[1];

    console.log(`Surface form: ${verb.word}`); // Outputs: 食べました
    console.log(`Dictionary form: ${verb.lemma}`); // Outputs: 食べる
}

findLemmas();

Example Word Object

A Word object for 食べました will look like this:

{
  "word": "食べました",
  "lemma": "食べる",
  "part_of_speech": "verb",
  "tokens": [
    { "surface_form": "食べ", "pos": "動詞", ... },
    { "surface_form": "まし", "pos": "助動詞", ... },
    { "surface_form": "た", "pos": "助動詞", ... }
  ],
  "extra": {
    "reading": "タベマシタ",
    "transcription": "タベマシタ"
  }
}