GoldenDict tools

A set of helpful programs to enhance goldendict for immersion learning.

This is a fork from the original program made by tatsumoto

Some significant features of this fork

• replace libfmt by a native function, making it 3x faster than the original version
• a sane build system using cmake
• system-agnostic, means it can even run on windows

Table of Contents

• Installation
• gd-marisa
• gd-mecab
• gd-images
• gd-strokeorder
• gd-handwritten
• gd-massif
• gd-ankisearch

Installation

First, install goldendict-ng.

Gnu Guix

gd-tools is available in our channel

Other Unix systems

Build instructions

Setup

Open GoldenDict, press "Edit" > "Dictionaries" > "Programs" and add the installed executables. Set type to html. Command Line: gd-tools <name of the program> --word %GDWORD% --sentence %GDSEARCH%. Optionally add arguments, such as: gd-tools marisa --word %GDWORD% --sentence %GDSEARCH% . These programs are treated as dictionaries and you can add them under "Dictionaries" or "Groups".

gd-marisa

This script outputs the sentence with clickable characters and searches for the longest available dictionary entry (from a predefined list) beginning at that character. For deinflection it currently relies on [rdricpp]https://codeberg.org/hashirama/rdricpp). It also provides links of available entries of smaller substrings.

Usage

gd-tools marisa --word %GDWORD% --sentence %GDSEARCH% 

The path to the .dic is an optional argument and defaults to /usr/share/gd-tools/marisa_words.dic

Dependencies

marisa-trie. The official Arch Linux package is called marisa, but it's already a dependency of goldendict.

Building an own index from a set of words

If you would like to make changes to found words, you can also create an own index from a newline-separated list of words (here called keyset.txt):

marisa-build < keyset.txt > keyset.dic

More information at https://www.s-yata.jp/marisa-trie/docs/readme.en.html

gd-ankisearch

This script searches Anki cards in your collection that contain %GDWORD%.

Arguments:

• --field-name NAME optional field to limit search to.
• --deck-name NAME optional deck to limit search to.
• --show-fields VocabKanji,SentKanji optional comma-separated list of fields to show.

Example invocation:

gd-tools ankisearch --field-name VocabKanji --show-fields VocabKanji,SentKanji,Image,SentAudio --word %GDWORD%

gd-images

This script shows the top 5 pictures from Bing images for the given search string.

gd-strokeorder

This script shows the search string in the KanjiStrokeOrders font.

Font source: https://www.nihilist.org.uk/

Arguments:

• --max-len 5 maximum size of the input string.
• --font-size 10rem font size. It has to be large in order to see the stroke numbers.

How to call:

gd-tools strokeorder --word %GDWORD%

gd-handwritten

This script displays the handwritten form of each character

Font source: ArmedLemon.

How to call:

gd-tools handwritten --word %GDWORD%

gd-massif

This script shows example sentences from https://massif.la/

gd-mandarin

This script passes a sentence through mecab in order to make every part of the sentence clickable. It also automatically converts the sentence to traditional characters.

To use gd-mandarin, you need to install gd-tools by running ./quickinstall.sh --mandarin.

gd-mecab

This script passes a sentence through mecab in order to make every part of the sentence clickable.

https://user-images.githubusercontent.com/50422430/226139459-0c8bcf0e-e68f-491e-8171-bae3f50a7ae1.mp4

Dependencies

This script requires MeCab and the IPA dictionary to be installed. If you are on an Arch Linux system you can simply install the AUR package mecab-ipa to obtain both.

Command format

Add this script to GoldenDict under "Dictionaries" > "Programs" (format HTML), like this:

gd-tools mecab --word %GDWORD% --sentence %GDSEARCH%

Optional arguments

• --font-size SIZE the font size to be used, e.g. 30px.
• --user-dict FILE full path to the user_dic.dic file. This is done automatically if you install via make.

Disclaimer

Most of the effort was done by アーニャ through my guidance.