Based on an encoding schema, where in literal words represent digital data.
•Human factor
- It is much easier to deal with legitimate words rather than a collection of random characters
hdkjhg54lhjhd Apple Mango Africa - A set of unrelated nouns is simpler than a sequence with words from different parts of speech
Apple Mango Bridge apple away an doctor the day keeps a
•Reduction
The greater the number of individual symbols used - the smaller the resultant code.
| Base | Dec | Bin | Hex |
|---|---|---|---|
| Digits | 10 | 2 | 16 |
| Symbols | 0 1 2 3 4 5 6 7 8 9 | 0 1 | 0 1 2 3 4 5 6 7 8 9 A B C D E F |
| Ex. 1 | 7 | 111 | 7 |
| Digits | 1 | 3 | 1 |
| Ex. 2 | 15 | 1111 | F |
| Digits | 2 | 4 | 1 |
•Mapping
- A sequence of bits is mapped to individual words ( e.g. 1011011011 : Apple )
- Those words are from a list of 1K (1024) carefully chosen nouns
- Since 210 = 1024, the length of these sequences is 10 bits
| Data | An Apple a day |
| ||||||
| Hex | 41 6E 20 41 70 70 6C 65 20 61 20 64 61 79 | |||||||
| Binary | 0100 0001 0111 0000 0111 0000 0110 1100 ... |
| ||||||
| WCode | Cat Coffee Mango Apple ... |
