Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/dileivas/danki
DAnki: Automate deck creation for Anki to learn german
https://github.com/dileivas/danki
anki german
Last synced: 26 days ago
JSON representation
DAnki: Automate deck creation for Anki to learn german
- Host: GitHub
- URL: https://github.com/dileivas/danki
- Owner: dileivas
- License: mit
- Created: 2020-04-29T06:05:52.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2021-06-14T00:56:18.000Z (over 3 years ago)
- Last Synced: 2024-10-10T19:41:24.816Z (26 days ago)
- Topics: anki, german
- Language: Python
- Size: 1.17 MB
- Stars: 18
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# DAnki: Automate deck creation for Anki to learn german
`DAnki` automate the work of creating decks for Anki to learn german. From the export of your Kindle's notes
or a csv file, DAnki can generate cards with the translation of the word for 8 different languages including
the german pronunciation sound.
*This library and its author(s) are not affiliated/associated with the main Anki project in any way.*
It was created for my german students to develop their vocabular. Using Kindle you can just highlight the
german words or expressions you want to practice, export these notes to your email and use the csv file
with this program. It also create tags for Anki with the page number.
*Note:* Your Kindle's language must be in *portuguese* or *english* .
## How to use
Here is an exemple using a csv file from kindle.
```python
language = 'en'
csv_filepath = r'csv_exemple_files/sherlock_highlights_from_kindle_english.csv'
deck_name = 'sherlock_en'
from_kindle = True
myDanki = DAnki(language, csv_filepath, deck_name, from_kindle)
myDanki.create_translated_deck()
```
Here is an exemple using a csv file with only 2 columns: German Word and Tag.
```python
language = 'ch'
csv_filepath = r'csv_exemple_files/not_from_kindle.csv'
deck_name = 'not_from_kindle'
from_kindle = False
myDanki = DAnki(language, csv_filepath, deck_name, from_kindle)
myDanki.create_translated_deck()
```
*You can find the csv exemple files [HERE](https://github.com/dileivas/DAnki/tree/master/csv_exemple_files).*
## Available languages
DAnki uses [leo.org](leo.org) to find a translation from german, so the available languages are:
('pt' - portuguese) ('en' - english) ('fr' - french) ('es' - spanich)
('it' - italian) ('ch' - chinese) ('ru' - russian) ('pl' - polish)
## Must
You must add 'de_DE_frami.dic' and 'de_DE_frami.aff' files in
`C:\Users\user\AppData\Local\Programs\Python\Python38\lib\site-packages\enchant\data\mingw64\share\enchant\hunspell`
Dictionary link: https://extensions.openoffice.org/en/project/german-de-de-frami-dictionaries
For more information: https://pyenchant.github.io/pyenchant/tutorial.html
## Credits
My thanks to:
[genanki](https://github.com/kerrickstaley/genanki)
[HanTa](https://github.com/wartaal/HanTa) - I don't use this library, but allowed me to understand lemmatization.
[Vorverarbeitung von Texten mit Python und NLTK](http://textmining.wp.hs-hannover.de/Preprocessing.html)
[treetaggerwrapper](https://treetaggerwrapper.readthedocs.io/en/)
[gTTS](https://github.com/pndurette/gTTS)
[LEO GmbH](leo.org)