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ELP: two-layer activation pipeline (activate → suppress → reason → generate)

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elp-input.el: replace broken engram_search_json with engram_activate_json
as Layer 1. Layer 2 suppress/filter keeps nodes with non-zero salience/
importance. Reason step extracts patient from top activated node content.
ELP grammar realizes the response via generate().

routes.el: add 'elp' event_type to handle_dharma_recv so the studio can
route ELP requests through dharma.
This commit is contained in:
Will Anderson
2026-05-03 11:31:04 -05:00
parent e299c92662
commit 2622bb04bd
94 changed files with 52848 additions and 0 deletions
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dist/morphology-peo.elh
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// auto-generated by elc --emit-header - do not edit
extern fn peo_drop(s: String, n: Int) -> String
extern fn peo_ends(s: String, suf: String) -> Bool
extern fn peo_slot(person: String, number: String) -> Int
extern fn peo_present_suffix(slot: Int) -> String
extern fn peo_past_suffix(slot: Int) -> String
extern fn peo_ah_present(slot: Int) -> String
extern fn peo_ah_past(slot: Int) -> String
extern fn peo_kar_present(slot: Int) -> String
extern fn peo_kar_past(slot: Int) -> String
extern fn peo_xsaya_present(slot: Int) -> String
extern fn peo_tar_present(slot: Int) -> String
extern fn peo_da_present(slot: Int) -> String
extern fn peo_da_past(slot: Int) -> String
extern fn peo_map_canonical(verb: String) -> String
extern fn peo_conjugate(verb: String, tense: String, person: String, number: String) -> String
extern fn peo_decline_astem(noun: String, gram_case: String, number: String) -> String
extern fn peo_decline(noun: String, gram_case: String, number: String) -> String
extern fn peo_noun_phrase(noun: String, gram_case: String, number: String, definite: String) -> String