@leonsilicon/tbcl

The Taiwan Benchmarks for the Chinese Language (TBCL) word list, packaged as JSON for use in Node.js and the browser.

The data is a list of 3,100 traditional Chinese characters, each with its TBCL level (1–7) and corresponding written/spoken frequency counts.

Installation

npm install @leonsilicon/tbcl

Usage

import tbcl from "@leonsilicon/tbcl";

// Each entry is [id, traditional, level, wFreq, sFreq]
console.log(tbcl[0]);
// => [1, "的", 1, 40289, 43113]

Or import the raw JSON directly:

import tbcl from "@leonsilicon/tbcl/tbcl.json" with { type: "json" };

Data format

Each entry is an array of five values:

| Index | Field | Type | Description | | ----- | ------------- | -------- | -------------------------------------- | | 0 | id | number | 1-based index | | 1 | traditional | string | Traditional Chinese character | | 2 | level | number | TBCL level (1–7) | | 3 | wFreq | number | Written-corpus frequency | | 4 | sFreq | number | Spoken-corpus frequency |

The original CSV is also shipped at @leonsilicon/tbcl/tbcl.csv.

Building from source

bun scripts/build.ts

This parses data/tbcl.csv and writes tbcl.json at the package root.

License

MIT