transcrobes VS chinese-xinhua

Compare transcrobes vs chinese-xinhua and see what are their differences.

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transcrobes chinese-xinhua
1 1
13 10,668
- -
9.1 0.0
4 months ago 5 months ago
TypeScript Python
GNU Affero General Public License v3.0 MIT License
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transcrobes

Posts with mentions or reviews of transcrobes. We have used some of these posts to build our list of alternatives and similar projects.

chinese-xinhua

Posts with mentions or reviews of chinese-xinhua. We have used some of these posts to build our list of alternatives and similar projects.
  • Any lists or collections of chengyu that use only HSK 1-2 characters?
    1 project | /r/ChineseLanguage | 31 Dec 2021
    Happy to help. You can find the Python code here, though you'll need another file (renamed to chengyu.json), which is the database of idioms. I just pulled an open-source one off this repository. All you essentially do is break down every chengyu into its component hanzi, and check to see if those are in the HSK 1 + 2 wordlist.

What are some alternatives?

When comparing transcrobes and chinese-xinhua you can also consider the following projects:

common-chinese-radicals - A nicely typeset table of the 100 most common radicals in Chinese characters

rime-cantonese - Rime Cantonese input schema | 粵語拼音輸入方案

YomiNinja - Open-source OCR and dictionary tool.

ark-pixel-font - Open source Pan-CJK pixel font / 开源的泛中日韩像素字体

chinese-shadowing - Application for shadowing Chinese.

asian-comprehension-worksheet-generator - Create worksheet to learn Asian language (eg. Chinese) and practice reading and writing in grid format. Perfect tool for kid and beginner.

zoa - serialized structured data and it's textual representation

Chinese-Vocabulary-Generator-Anki-Addon - Generate Chinese Vocabulary for Anki using Addon

cwg - Chinese Worksheet Generator

nycdb - Database of NYC Housing Data

CJK-character-count - Program that counts the amount of CJK characters based on Unicode ranges and Chinese encoding standards 字体汉字计数软件

va11halla-dialogues - VA-11 HALL-A dialogues in JSON format