I’ve been spending time learning the dominic system for numbers and it occurred to me that it could be adapted to text.
Te i**a bd te sm is t**t te ft ad lt l**rs ae te m*t i*******t.
The idea behind the system is that the first and last letters are the most important.
So…
You use 26 characters to symbolize A-Z and then use a specific interaction for the number of spaces between the words. For example Tiger Woods could be punching (space of 2) Robert Redford to make the word ‘tier’.
You can then plug it into the journey system/roman room technique.
Interesting idea. My images are syllables, so I might try that with the first and last syllable on long words.
I’m in Austria at the moment and still haven’t figured out how to approach German words like Donaudampfschiffahrtsgesellschaftskapitän, Eisenbahnknotenpunkthinundherschieber, and Rolltreppenbenutzungshinweise.
Dude you are on to something! Though it will be hard to understand some words but if you have already read the texts before, then you can easily fill in the blanks for some spaces.
By the way, you’ll have more than 100 images. It will be 26*26= 676 persons with unique actions.
You can use the Person as the first and last letter of the word and the action as the number of spaces between the letters.
Truly that the truly shuffled word is unreadable if we not read it before. But this idea gives me interesting way of memorizing texts of long enough poems or paragraph after once reading. In this case, i don’t need to consider the number of word spaces. Great thanks for your sharing.
I think we should need a system for first 3 letter of any word for memorize verbatim (676 for first 2 letter & 26 for last letter). I may give more hint to recall later.
There’s absolutely no reason why you could not use a system to memorise any foreign text letter by letter.
Donaudampfschiffahrtsgesellschaftskapitän
loci 1:
Do - person
na - action
ud - object
Add a consistent image modifier for 1st letter out of 6 to be capitalised.
Loci 2:
am - person
pf - action
sc - object
Loci 3:
hi - person
ff - action
ah - object
…etc …etc
If you were doing this for competition, perhaps you could use a 26x26x26 (17,576) PAO system which would allow 9 letters per loci which would give you 5 loci for the above word.