Acnicoy is a tool for learning Japanese and other languages. It implements a Spaced Repetition System (SRS) to help with the memorization of vocabulary. While the basic features work for every language, the program offers a few additional features specifically for learning Japanese.
The following screenshot shows an example of a dictionary search as well as information being displayed for a selected kanji. You can browse screenshots for more of Acnicoy's features along with short descriptions here. They are also linked in the list of features further below.
The basic features for every language include:
- Add words to your vocabulary and organize them into lists. (screenshot)
- Review your vocabulary according to a spaced repetition scheduler. (screenshot)
- Customize the review sessions, e.g. by switching to flashcard-mode. (screenshot)
- Get an overview over scheduled reviews and items ready for review. (screenshot)
- Adjust the spaced repetition system with custom intervals. (screenshot)
- View statistics illustrating your learning progress. (screenshot)
- Write notes using Markdown syntax and organize them into groups. (screenshot)
- Use shortcuts to speed up frequently used procedures. (screenshot)
- Change the design by switching to other color schemes. (screenshot)
For learners of the Japanese language, the program additionally offers:
- Look up words in the dictionary (similar to Jisho and Houhou SRS). (screenshot)
- Conveniently edit vocabulary items using suggestions from the dictionary. (screenshot)
- Get an overview over all kanji and look up details for single kanji. (screenshot)
- Separately add kanji to your vocabulary and review meanings and readings.
You can download the latest releases for Windows and Linux from GitHub.
Acnicoy requires Node.js v12.x and uses the npm package manager. The build process is simple:
$ git clone https://github.com/phxstick/acnicoy
$ npm install
$ npx gulpYou can then run the program using npm start.
If you would like to generate language data for Japanese yourself, you can find
all necessary files in my Dropbox.
The JMdict file in that folder could be a bit outdated, so you might want to
download the latest version from here
first. You can then set the variable RESOURCE_PATH to point to the folder
containing all the raw data files and run make data, which will generate all
data and put it the directory specified by the variable OUTPUT_PATH.
This work is licenced under the GNU GPLv3.
See the list of resources.
I gladly accept feedback and suggestions. You can open a GitHub issue or contact me at: Phxstick@gmail.com