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kerrickstaley
Chinese-Vocab-List
Python2018–2022
kerrickstaley / Chinese-Vocab-List

Chinese-Vocab-List

A curated YAML list of Chinese vocabulary words with definitions and example sentences, plus a Python API

2Distinct people
3Mentions
0Explicit recommenders
42GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A curated YAML list of Chinese vocabulary words with definitions and example sentences, plus a Python API

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year3 dated mentions

Observed mentions: 2018-09-05 07:10:27 UTC to 2022-12-11 09:05:25 UTC.

0122018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2022

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC202
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC110

What Hacker News says

3 sources

Show HN: Hanzi.gg – Wordle-inspired Chinese character guessing game

Tap on a character to reveal the strokes, radicals and components it has in common with the character you're trying to guess. This was designed mainly for learners but I'm curious to hear from fluent hanzi readers whether the game is too easy. The vocabulary is from the Chinese Vocab List project [1]. Character graphics and data are sourced from Make me a Hanzi [2]. There are 95 pre generated games at the moment which are randomly chosen, more will be added soon. Suggestions welcome! [1] https://github.com/kerrickstaley/Chinese-Vocab-List [2] https://github.com/skishore/makemeahanzi
13 points · Open discussion
The segmentation is based on a library called jieba. It seems to work pretty well from my experience. https://github.com/fxsjy/jieba I do notice that some generated words are bogus (compounds of other words or redundant in some way). I have a file that lists redundant words, and when I notice these words I add them to the file so the tool won't generate them again. It also lists the words that they are duplicates of, so that those words can be upranked. This is the file if you're curious: https://github.com/kerrickstaley/Chinese-Vocab-List/blob/mas...
In “Prestudy”: Learning Chinese Through Reading
Some single-character words are included in the vocabulary list if they're often used as stand-alone words. Others that are rarely used alone or whose meaning can be inferred from "compound" words (e.g. 边, which occurs in 旁边, 右边, 左边,etc) are omitted. It's all based on my best judgement (which is probably misguided sometimes). A lot of manual tweaking went into generating the vocab list. All this deduplication is encoded in this file if you're curious: https://github.com/kerrickstaley/Chinese-Vocab-List/blob/mas... Also, in order to generate a flashcard for such a word, it would have to appear in a standalone context, e.g. 我没吃过牛肉 would not generate flashcards for 牛 or 肉, but 牛不吃肉would.
In “Prestudy”: Learning Chinese Through Reading

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