https://github.com/klieret/rtk-lookup
Looking up kanji from the book series "Remembering The Kanji" by James Heisig.
https://github.com/klieret/rtk-lookup
dict dictionary james-heisig japanese kanji
Last synced: 5 months ago
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Looking up kanji from the book series "Remembering The Kanji" by James Heisig.
- Host: GitHub
- URL: https://github.com/klieret/rtk-lookup
- Owner: klieret
- License: agpl-3.0
- Created: 2017-10-23T09:24:45.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2020-12-28T18:59:04.000Z (almost 5 years ago)
- Last Synced: 2025-04-15T05:46:06.647Z (6 months ago)
- Topics: dict, dictionary, james-heisig, japanese, kanji
- Language: Python
- Homepage:
- Size: 164 KB
- Stars: 4
- Watchers: 1
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: readme.md
- Changelog: CHANGELOG.md
- License: license.txt
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README
# Lookup Kanji by Heisig Keyword or frame number
## Short Description
For people who learn kanji with the book by
James Heisig ([remembering the kanji](https://en.wikipedia.org/wiki/Remembering_the_Kanji_and_Remembering_the_Hanzi)).
A little command line interface that allows to look up multiple kanji with
* The keyword (or parts of it)
* Parts of the mneomic/story
* The frame number
## Installation:
Installation with python package manager:
pip3 install --user --upgrade rtk-lookup
The command line interface can then be started with
rtk
If this doesn't work, you can use
python3 -m rtklookup
or add ``~/.local/bin/`` to your ``$PATH`` variable.
Installing latest development version:
git clone https://github.com/klieret/rtk-lookup.git
cd rtk-lookup
pip3 install --editable --user .
To search through your own stories/menmonic, you need to supply them via a text file (e.g. download them from [kanji.koohii](https://kanji.koohii.com/)).
## Basic searching
(default) large resist
大抵
(default) 107 1832
大抵
(default) large 1832
大抵
If words are not found, they are converted to hiragana if the ```romkan``` module is installed (optional).
This ```romkan``` module which can be downloaded [here](https://pypi.python.org/pypi/romkan).
Examples:
(default) large てい
大てい
(default) large 抵
大抵
(default) large tei
大てい
You can also lookup english keyword with kanji too
(default) 譲
譲: defer
(default) 図書館
図: map
書: write
館: bldg.
To quit, type ```.q```.
## Modes
There are four modes (in parenthesis: command to activate mode)
* default (```.d```): Do nothing.
* copy (```.c```): Copy result to clipboard.
* lookup (```.w```): Lookup expression (default: tangorin.com with firefox)
* conditional: Lookup expression if the search gave a unique result
* primitive (```.p```): Try to find kanji by specifying primitives (this requires an additional file that contains all the kanji stories of the user)
The current mode is displayed by the prompt.
If the input matches more than one result, no action will be performed, regardless of the current mode.
## More on searching
If a keyword contains a space, substitute ```_```:
(default) sign_of_the_hog
亥
```word+``` will look for all keywords of the form "word1 word2 word3" where word matches (exactly) one of the words.
(default) fish+
乙: fish guts
魚: fish
鰭: fish fin
(default) fin+
鰭
(default) fish+ thunder
乙魚鰭雷
────────
乙: fish guts
魚: fish
鰭: fish fin
```word?``` will look for all keywords that contain "word":
(default) fish?
貝: shellfish
乙: fish guts
魚: fish
漁: fishing
恣: selfish
鰭: fish fin
(default) fin?
指: finger
棺: coffin
緻: fine
縁: affinity
精: refined
済: finish
婉: well finished
鰭: fish fin
(default) fish? thunder
貝乙魚漁恣鰭雷
──────────────
貝: shellfish
乙: fish guts
魚: fish
漁: fishing
恣: selfish
鰭: fish fin
You can mix multiple search options:
## Issues, Suggestions, Feature Requests etc.
Open a ticket at [this addon's gitbucket issue page](https://github.com/klieret/rtk-lookup/issues). Suggestions and feature requests are welcome as well!
## Contributors
* [Kilian Lieret](https://github.com/klieret)
* [Kavin Ruengprateepsang](https://github.com/kavinvin)
## License
GNU AGPL, version 3 or later. The list of all kanji by heisig number ```RTK.tsv``` was included in an Anki plugin with copyright Ian Worthington , GNU GPL, version 3 or later.
## History
* 23 Oct 2017: Moved repository to github.
* 05 Aug 2015: Series of bigger changes.
* 31 Mai 2015: First version released.