Tag: pleco
These conversation post have all been tagged with "pleco"
This program converts WLCP XML to PlecoDict2 Flashcard XML for Windows users. See here for Mac and Linux
Instructions:
- Unzip wlcp_to_pleco_windows.zip such that wlcp_to_pleco.py, wlcp_to_pleco.xsl, and msxsl.exe are in the same folder as your WLCP-provided XML files.
- Run wlcp_to_pleco_windows.py just as you would welovechinesepod.py
- It will ask you for a lesson name, type it in just as you would with welovechinesepod.py
- Advanced: You can avoid typing in the lesson names by typing all of the lesson names in a file called lessons.txt just like with welovechinesepod.py
What you get:
- For example, with the lesson called night-cat, it will read the WLCP-provided XML file night-cat.xml and create the file night-cat-pleco.xml.
Hello to all of you who use Pleco(dict)! (Isn't it GREAT?!!;))
Even though I love this programme and use it almost every day... i was little late in noticing there is an update available for quite some time now...and now I am already in love with Pleco 2.0!!
But :
I tried to find on PlecoInstructionManual on the homepage but couldn't find...
What are the two additional Icons "PlecoCvt" and "PlecoMover" for? I opened the files of course, but I can't really make out what I can do with them...
Any other tips about the new Pleco? Maybe functions you discovered and think everybody should use? This programm is so complex I am sure I only use half of the functions and maybe miss some good ones... always easier to learn from users than from manuals ;-)!
Thanks for tips, hints, suggestions...
Gesang
(If there are related posts in this community section...I could not find them...how can I search for conversations by tags? )
|
Many Pleco users have been wondering if there are any methods to colorize the text according the tone of the characters. I think this is one of the best features of Pleco.
I've found a script on the net, which is able to colorize any hanzi on any webpage So 0. Install Firefox 1. Install Chinese Perapera-kun https://addons.mozilla.org/en-US/firefox/addon/3349 3. Install Greasemonkey https://addons.mozilla.org/firefox/addon/748 4. Locate cperakun.jar and uncompress it, it's a normal archive 5. Locate adso.dat and simple.idx 6. Create a folder and copy adso.dat and simple.idx 7. Save the file 43877.user.js form http://userscripts.org/scripts/show/43877 by right-clicking Install button 8. Move the file 43877.user.js to the folder containing adso.dat and simple.idx 9. Edit the 43877.user.js: var color= new Array('black','red','green','blue','purple','grey'); or any color pattern you like 10. Open Firefox, File-Open file and locate the 43877.user.js 11. Install 43877.user.js That's it Good luck! |
|
  |
 |
I've come up with an idea that I'm just now starting to use and am really optimistic about. It is a way to figure out which is the best ChinesePod lesson to study next. I've written some very rough programs (bash scripts) that make an informed decision. In a nutshell, it figures out which lesson's unlearned vocabulary is the most frequently used.
To do this, it requires 3 things:
1. An exhaustive list of your vocabulary, not an easy thing to get unless you use pleco, anki or some other program that can track your vocabulary.
2. Chinese character & bigram frequency data, freely available online.
3. ChinesePod vocabulary lists for each lesson that you want to choose between. (this is not easy to get, it would be nice if they would make this available to us in a more straightforward manner.)
So the script reads in your vocabulary, the frequency data and then looks at the vocab list in each lesson. For each lesson, it figures out which words or characters that you have not yet learned, and then looks all those words/characters in the frequency table. it then adds those frequencies up and then divides the total by the number of new words. The results can then be sorted to determine the highest scored lesson, which is the lesson you should study next.
Currently, I'm using 2 separate programs to do this for single characters and bigrams. I don't have a frequency list for words of arbitrary length, but it sure would be useful if I could find one.
Has anyone else done anything like this?
