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@leonsilicon/kris2808__similar-chinese-characters

v0.0.0

Published

形近同音近音字 dataset — similar-looking, homophone, and near-homophone Chinese characters

Readme

@leonsilicon/kris2808__similar-chinese-characters

形近同音近音字 dataset — similar-looking, homophone, and near-homophone Chinese characters parsed from 形近同音近音字.csv.

Install

npm install @leonsilicon/kris2808__similar-chinese-characters

Usage

import similarChineseCharacters from "@leonsilicon/kris2808__similar-chinese-characters";

const { headers, rows } = similarChineseCharacters;
// headers: ["國字", "注音", "部首", "型近字", "同音國字", "相似音國字", "用詞"]

const [
  character,
  pronunciation,
  radical,
  lookalikeCharacters,
  homophones,
  similarSoundingCharacters,
  usage,
] = rows[0];

Import the raw JSON directly:

import similarChineseCharacters from "@leonsilicon/kris2808__similar-chinese-characters/similar-chinese-characters.json" with { type: "json" };

Data format

similar-chinese-characters.json has two properties:

  • headers — column names from the CSV header row (Chinese labels; see English names below)
  • rows — array of rows; each row is an array of 7 string columns in the same order

| Chinese (header) | English (typed name) | | --- | --- | | 國字 | character | | 注音 | pronunciation | | 部首 | radical | | 型近字 | lookalikeCharacters | | 同音國字 | homophones | | 相似音國字 | similarSoundingCharacters | | 用詞 | usage |

Semicolon-separated lists within a cell are kept as a single string (e.g. "約;釣;豹;灼;皎").

Development

bun install
bun run build   # regenerate similar-chinese-characters.json from data/形近同音近音字.csv
bun run check

License

MIT