A vanilla non-fungible token standard proposed by CIP-82 combined with the established unicode system can create an on-chain logographic system for representing language characters that are logographs. Examples include hanzi in Mandarin, kanji in Japanese, hanja in Korean, and etc.
Motivation
A logograph is a written character that represents a word or morpheme, whereas a unicode is an information technology standard for the consistent encoding, representation, and handling of texts. A vanilla NFT by CIP-82 can naturally combine the two into a new system that is ideal for on-chain representation of logograpic language systems.
It is valuable to build this system for logographs because a rich amount of meanings can be transmitted in just a few tokens. However, this is not providing additional utility compared with existing messaging systems for non-logographic languages such as English. Emojis can be universally accepted.
Examples
Instead of sending the Chinese letters of the Great Wall 长城, two CIP-82 tokens with ID#38271 and ID#22478 are sent in order to represent the two letters. The receiving end decodes the IDs and retrieves the original logographic characters.
Applications
On-chain chatting, blogs, micro-blogs systems can be built for communities using these languages. Centralized censorship can be much improved with systems built upon this standard.
Abstract
A vanilla non-fungible token standard proposed by CIP-82 combined with the established unicode system can create an on-chain logographic system for representing language characters that are logographs. Examples include hanzi in Mandarin, kanji in Japanese, hanja in Korean, and etc.
Motivation
A logograph is a written character that represents a word or morpheme, whereas a unicode is an information technology standard for the consistent encoding, representation, and handling of texts. A vanilla NFT by CIP-82 can naturally combine the two into a new system that is ideal for on-chain representation of logograpic language systems.
It is valuable to build this system for logographs because a rich amount of meanings can be transmitted in just a few tokens. However, this is not providing additional utility compared with existing messaging systems for non-logographic languages such as English. Emojis can be universally accepted.
Examples
Instead of sending the Chinese letters of the Great Wall 长城, two CIP-82 tokens with ID#38271 and ID#22478 are sent in order to represent the two letters. The receiving end decodes the IDs and retrieves the original logographic characters.
Applications
On-chain chatting, blogs, micro-blogs systems can be built for communities using these languages. Centralized censorship can be much improved with systems built upon this standard.