I am considering to try to define the 123 Toki Pona words and the 460 concepts they cover into IEML (Information Economy Metalanguage) created by Lévy Pierre

https://www.facebook.com/pierre.levy

It could be beneficial because Toki Pona is a great way of looking at ambiguity and some people have already indicated that handling ambiguity could be the next big thing in Artificial Intelligence.

#TokiPona #IEML #sona_nimi #ambiguity

Lévy Pierre

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Wayback Machine

The IEML dictionary is a set of around ~3500 basic semantics units.

The dictionay has its own syntax and primitives. The dictionary is organised in layers, from 0 (the most abstract) to 7 (the most specific). The words excepts the primitives are built from words of lower layers.

https://pypi.org/project/ieml/

#IEML #dictionary #concepts #BasicSemanticsUnits #puku_nimi

ieml

Python implementation of the artificial natural language IEML

Intlekt Editor | IEML

IEML animals

https://intlekt.io/?comments=B%3A.B%3A.n.-n.-u.S%3A.-%27

Toki Pona animals

akesi
amphibian, reptile
kala
fish, sea creature
pipi
bug, insect, spider
waso
bird, bat, winged animal
soweli
(cute) animal

#IEML #animals #tokipona

Intlekt Editor | IEML

Matching IEML concepts and TP concepts isn't going to be easy ... yet, IEML for animals are also quite broad

#TokiPona #IEML #nimi #soweli #animals #same_en_ante #comparison