will.anderson c5508372ca elp(multilingual): native-el language layer — detect + localized phrases
Phase 3 piece 2. Ports multilingual.py: deterministic language detection
(en/es/pt/it) via stopword + diacritic scoring, localized fixed phrases (SACRED
per-language yes/no/decline/identity), PT/ES->EN retrieval term lexicon, and
EN->target predicate translation. No generative model.

Gate (multilingual_gate.el): 4/4 languages detected correctly; localized
declines + term/pred lexicons verified. Built bounded (elc rc=0 peak 25MB).

Worked through the documented el '+' mis-compile (two chained function-call Int
operands compile as string concat -> corrupt Int -> segfault on the accented
path); fixed by binding each score to an Int var and adding vars singly.

Simplifications (honest): diacritics scored by PRESENCE (str_contains) not
codepoint count (UTF-8 index safety); confidence scalar and the regex-based
parse_directive() from the reference not yet ported (directive parsing deferred
to the dialogue layer).
2026-08-13 15:09:04 -05:00
S
Description
The Engram programming language — types as knowledge nodes, quantum-sealed prod target
168 MiB
2026-07-22 22:02:53 +00:00
Languages
Emacs Lisp 74.5%
C 22.1%
HTML 1.4%
Objective-C 0.6%
Shell 0.6%
Other 0.8%