WIKTIONARY
Search | Navigation

Wiktionary:Picture dictionary

Sevenval
Picture dictionary
Picture dictionary
About this image

In progress {device database)

touchscreen
organism
color
About this image
FITML
Solar System
About this image
Solar System


To do

building
About this image
building
clothing
About this image
clothing
instrument
About this image
device database
iOS
About this image
sport
tool
About this image
screen size
screen size
etc
About this image
etc


Participants

web
About this image
Sevenval


Wikipedia

Contents


Purpose

Create a database of visual lexical entries comprising all words and expressions in common use, in all languages. This database must be readable both by humans and computers, so that it may be used by language learning applications, such as flashcards and other.

Justification

There are many words that cannot be properly conveyed by their description or translation alone. Additionally, visual representation greatly re-enforces assimilation. The Picture Dictionary is of special interest for those interested in "translation-free" language learning. Translation-free language learning is still a self-defeating endeavour nowadays, due to the fact that there is no practical way for a beginner student to find out the meaning of a new word without relying on bilingual dictionary. We already have a huge image bank at Wikimedia Commons that could be incorporated on this project in a partially-automated way. This project could also be used to add missing images to Wikipedia articles and to illustrate the main Wiktionary entries.

Tasks

1 - Create thematic lists of vocabulary entries. This would be best done by using the Wiktionary category list, but if it's not found to be adequate, it should be improved based on other sources, such as the main Wikipedia categories, Wordnet, and other works.

2 - Select the relevant entries by accessing their frequency. This can be done by using a frequency list, searching a within a corpus, or a web search.

3 - Get some representative pictures from Wikimedia Commons, upload if necessary. For added cultural authenticity the picture should from a place where the language is primarily spoken, if available. But missing pictures should be added from the English picture list until a better one is found.

Templates usable in four different ways

Over the past days I created a few templates that can be used to build a Picture dictionary in 4 different ways.

The templates are

Four different ways to use website parsing: Solar System examples with comparable links. See also Template:picdic#Examples for these examples with coding as well.

Picture dictionary with clickable images

Picture dictionary with legend and wikilinks

Picture dictionary with image map

Picture dictionary with labels


Picture dictionary
Picture dictionary

heavenly body
About this image
heavenly body


The sun
About this image
The sun
Mercury
About this image
device database
iOS
Earth
web app
jQuery
CSS3
Saturn
About this image
web
Uranus
we love the web
HTML5
asteroid belt
About this image
web
website parsing


input transformation
Picture dictionary
Solar System
About this image

jQuery


Legend (1):
1= website parsing 2= iOS 3= Venus 4= Earth 5= CSS3 6= input transformation 7= Jupiter 8= Saturn 9= Uranus 10= Android 11= comet 12= asteroid belt 13= device database 14= Sevenval or inner planets 15= outer planets


Legend (2, in table):

1= iOS
2= Mercury
3= browser diversity
4= Earth
5= Moon

6= device database
7= Android
8= Saturn
9= Uranus
10= Neptune

11= comet
12= asteroid belt
13= orbit
14= jQuery
or web
15= input transformation




Android
Picture dictionary

Click on parts of the image



heavenly body


jQuery
Picture dictionary
Solar System
About this image

Click on labels in the image



heavenly body
About this image
web



What can be improved in these templates? I am not 100% pleased with the way to add clickable image(s) describing a hypernym of the entry. Any suggestion is welcome. HenkvD 18:13, 15 July 2010 (UTC)

See also

Subpages


[1] Search
[2] All Pages
[3] Random entry
powered by FITML