Hi, my goal is to learn 4,500 most used characters in advance so that I see 
few unknown characters in a new average text. I beleive that characters are 
the main handicap that makes learning Chinese much slower than majority of 
alphabet languages. Learning 4,500 characters in advance by traditional 
means would take years, while in my approach it can be done in a year or 
even quicker. Please, see the description of my system here
https://www.chinese-forums.com/forums/topic/60377-phoneticsradical-based-approach-to-learn-characters-words-and-grammar/


понедельник, 31 августа 2020 г. в 13:25:50 UTC+3, mnl: 

> Hi, I am also learning chinese atm.Can you explain what you mean by that: 
> "The reason is I developed a way to learn Chinese characters in advance 
> with no connection to words and the context, as an alphabet."
> For chacaters I use "front: character; back: pinyin/translation" cards and 
> dont see a problem with it.
>
> On Saturday, 29 August 2020 at 10:01:00 UTC+2 Pal wrote:
>
>> Hi, Peter. I found the Mnemosyne a very good SRS soft, but had to refuse 
>> from applying it later unfortunately. The reason is I developed a way to 
>> learn Chinese characters in advance with no connection to words and the 
>> context, as an alphabet. To do that special fleshcards are used. Two 
>> problems arose. First, I had to controle myself the repetition intervals, 
>> but Mnemosyne didn't allow that. I wasn't even sure that when I chose the 
>> grade 2 the fleshcard would always appear on the next day, some appear 
>> later, on the third and even the fourth day. That didn't match my 
>> algorithm. I needed to know exactly how soon the card appear if I select a 
>> certain grade. Second, the reverse of my fleshcards is a table 3X3 plus 
>> some space below for a phrase. Of course, I could use just images, but it 
>> would overload the computer memory. It would be different if I could make a 
>> table right in the reverse window. So, now I have to keep thousands of 
>> cards in different plastic bags according to the level I've learnt them. Is 
>> it possible to do ajustments to Mnemosyne to solve these two problems?
>
>

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