Subscribe to Decision Science News by Email (one email per week, easy unsubscribe)
HANDY COMPUTER PROGRAMS FOR TURNING NUMBERS INTO MEMORABLE WORDS
w2num.py – converts every word in the English language to a number
find.py – takes a longish number and gives you words that when put together translate into that number using the digit-sound system.
If you are not a programmer, or if you are lazy, you can get to the chase and just download the relevant outupt files here
However, you have a long number that you want to make a mnemonic for, you’re better off using find.py or find.R below to find mnemonics. These handy programs break up long numbers into shorter ones which do have mnemonics.
These programs use phonetics (not spelling) to make the mnemonics. Read the small print on Jap Murre’s site to see why “letter” is 514 and not 5114 and why “ing” is 27. Thanks to Daniel Reeves for convincing discussions on the merits of using a purely phonetic system.
As usual, we’re open for suggestions on how to improve these programs … they’re both kind of slapdash jobs.
Prerequisites: You need to save a couple of wordlists locally. In particular
1) You need to save a copy of http://bit.ly/xz8YIC
as cmudict-0.4.scm. This is a mapping from words in English to phonemes.
2) You need to save a copy of http://scrapmaker.com/data/wordlists/twelve-dicts/2of12inf.txt
as wordlist.txt. This is a list of reasonably common English words (b/c some of the words in cmudict are too rare to be useful).
3) Put cmudict-0.4.scm and wordlist.txt in the same directory as
w2num.py and then do
python w2num.py > wordNum.txt
to generate the number corresponding to every English word. (If in the future these URLs break, just search around for copies of cmudict-0.4.scm and 2of12inf.txt …there are many copies of these dictionaries around.)
This is the program you use when you have a longish number and you want to find words that encode it. It uses recursive ™ technology to break up numbers a few different ways to increase your chances of finding a mnemonic you like.
Prerequisite: You must have created wordNum.txt (by running python w2num.py > wordNum.txt) in the previous step and saved it to the same directory as this program before running.
To turn a number like 8675309 into words do
python find.py 8675309
Lastly, for kicks I wrote a slightly dumber version of find.py in R. It lacks the cool “rec3” method of finding mnemonics but it gets the job done.
Same as find.py
Prerequisite: same as find.py
To turn a number like 8675309 into words change the variable mstr to ‘8675309’ and run the program.