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).
Phase 3 piece 1. Ports propositions.py off spaCy: the dependency-parser role is
now the el-native parser (parse_spec), and each memory sentence's meaning-spec
IS the triple (subject, predicate, object, modifiers, polarity, tense, source,
confidence). Sentence segmentation + repr parity with propositions.py. NEGATION
SACRED: polarity flows straight from the spec, never dropped/inverted.
Gate (propositions_gate.el): 4/4 SACRED polarity correct on extraction;
multi-sentence memory splits one triple per sentence in reading order with
negation preserved. Built bounded (elc rc=0 peak 24MB, cc rc=0).
Gap (honest): English regular-verb lemmatizer does not restore silent-e
(stores->stor); coreference/passive normalization from the reference not yet
ported (shallow pronoun subject kept as surface).
Adds a deterministic Romance front-end to comprehend.el (parse_spec_romance),
dispatched from parse_spec_lang for lang es/pt. English path untouched
(byte-identical, regression gate still 5/5). Pro-drop aware clause skeleton
(subject | neg | verb | object | PP), cross-lingual negation lexemes already
SACRED. Romance telephone gate: polarity PRESERVED 6/6 and EXTRACTED 6/6
through parse->realize->re-parse for 3 ES + 3 PT sentences. Built bounded
(elc rc=0 peak 24MB, cc rc=0).
Named gaps (honest): ending-only verb detection misfires on prepositions
(contra) and -a/-o nouns (menina); lemma recovery keeps surface form; the
non-English realizer is a generic preverbal-negator skeleton so ES/PT surfaces
are not byte-parity. Full paradigm inversion + Romance lexicon deferred.
PIECE 1 — greenfield el-native parser (comprehend.el), spaCy-free:
- text -> meaning-spec via invertible English morphology (the realizer's own
irregular table run BACKWARD) + a deterministic clause grammar (subject/verb
boundary, roles, ditransitive iobj, PP adjuncts, subordination, coordination).
- NEGATION IS SACRED: explicit polarity field, always present, cross-lingual
lexeme set; standalone neg adverbs (never) captured separately.
- WSD by deterministic syntactic position over a fixed sense inventory
(flies->fly, like->comparison, saw->see); engram nearest-region is the
documented runtime upgrade hook (no external model).
Polarity threaded through the whole el contract (was previously dropped at the
boundary): realizer.el realize_lang honors polarity (English do-support /
adverbial / copular negation; generic preverbal negator for es/pt/ca/it/fr/de/ro)
and places iobj; elp.el build_form_from_json carries polarity/neg_word/iobj
across JSON; morphology.el gains 'fight'.
Acceptance (native el telephone test, comprehend_gate.el): on the 5 gate
sentences polarity PRESERVED 5/5 and EXTRACTED 5/5 through parse->realize->
re-parse; 4/5 byte-identical. Built bounded (elc rc=0, cc rc=0).
Backfill ELP vocabulary from FULL lexicons (UniMorph + kaikki.org Wiktionary,
real gender/inflections) for 8 languages, 812,894 entries total, in the proven
seed-fn format matching the 18 ancient vocabularies:
es 72,032 | fr 130,517 | de 144,692 | la 22,590 | it 193,675 | pt 115,772 |
ro 86,504 | ca 47,112
4 of these (es fr de la) backfill ELP languages that had morphology but no
vocabulary; it/pt/ro/ca are new Romance (need morphology-*.el ports next).
Adds lang_profile_* for all 8 + reproducible generators under tests/lang-gen.
Vocab is runtime seed data (not in build manifest, like the 18 ancients);
seed-fn format validated to compile to C via elc.
Implements a complete natural language generation stack in El:
- morphology.el: English pluralization, verb conjugation (40+ irregulars), determiner agreement
- vocabulary.el: inline seed lexicon (~100 entries: pronouns, nouns, verbs, adjectives, etc.)
- grammar.el: CFG rules (S/NP/VP/PP), slot-map driven tree generator, s-expression renderer
- realizer.el: semantic form -> English text with tense/aspect/agreement, do-support for questions
- nlg.el: JSON-driven public API tying all modules together
- tests/run.sh: acceptance corpus runner (6 tests, all passing)
will.anderson
Will Anderson