logiglyph 0.1.3

Agglutinative language toolkit with logical ASCII symbols and translator.

Agglutinative Language Toolkit

This project builds a small synthetic language and translates between:

• Normal English text (example: the person builds a house)
• ASCII language symbols (example: lg_e_pa_)

Setup

python -m venv .venv
.venv\Scripts\Activate.ps1
pip install -r requirements.txt
pip install -e .

Generate Dictionary

python -m src.tool generate-dictionary --count 96 --out data/dictionary.json

Translate

python -m src.tool translate --dict data/dictionary.json --text "the person builds a house"
python -m src.tool translate --dict data/dictionary.json --text "lg_e_pa_ lg_e_pan lg_e_pak" --reverse

The translator maps natural words through aliases in the dictionary, drops articles (a, an, the), and applies light lemmatization for common forms (-s, -es, -ed, -ing).

Build Concept + Grammar References

python -m src.tool build-language-pack --dict data/dictionary.json --concepts-out data/concepts.json --grammar-out data/grammar_reference.json

This writes:

• data/concepts.json (concept inventory, symbols, aliases, semantic classes)
• data/grammar_reference.json (translation conventions and symbol format)

Dictionary Schema

Each entry in data/dictionary.json has:

• root: phonological root (pa, pan, ...)
• gloss: stable internal key (person_0, house_1, ...)
• semantic_class: one of entity|action|quality|relation|abstract
• onset, vowel, coda: compositional sound parts
• symbol_id: structured id (entity:p:a:_)
• symbol: deterministic ASCII symbol (lg_<class>_<root>)
• aliases: natural-language lookup words (example: ["person", "human", "people"])

Python API

from logiglyph import LanguageModule

lang = LanguageModule("data/dictionary.json")
res = lang.translate("the person builds a house near water")
print(res.text)               # e.g. lg_e_pa_ lg_a_pi_ lg_e_pan lg_r_pon lg_e_pak
print(lang.reverse(res.text)) # person make house near water