# Best Modern Approach Weksa should not be an English word-substitution machine. That old Word2Vec idea was plausible as a cheap lexifier, but a believable alien language needs more authority than semantic clustering plus new syllables. The modern approach is a hybrid: - use models for semantic decomposition, clustering, generation, and critique - keep language authority in explicit ontology, grammar, morphology, phonology, diachrony, state, and examples If a model owns the language, the language drifts. If rules own everything, the language can become sterile. Weksa's job is to make those two pressures useful without letting either one annex the whole machine. ## Conceptual Ontology Start with a world model, not English words. Define what the speakers perceive, value, fear, classify, taboo, ritualize, and socially enforce. English distinctions can split, collapse, or become irrelevant when passed through the alien ontology. Useful axes: - agency: animate, machine, ancestor, weather, collective - visibility: seen, inferred, dreamed, ritually known - time: cyclic, seasonal, ancestral, immediate - social relation: kin, oath-bound, enemy, host, stranger - environment: aquatic, fungal, orbital, subterranean, migratory Embeddings and LLMs can cluster English concepts, but the ontology decides what the target language actually cares about. The ontology is the pressure chamber; English is just one input gas. Example concept split: ```text English: water Alien ontology: life-water: potable/shared water that sustains the group boundary-water: dangerous water marking territorial edge sky-water: rain, omen-bearing and seasonal body-water: blood, sap, egg-fluid, and related internal liquids ``` Example concept collapse: ```text English: debt, promise, remembered injury Alien ontology: one concept family: unclosed social pressure ``` ## Root Generation Generate roots from a phonotactic grammar, not random syllables. Root generation should know: - phoneme inventory - legal syllable shapes - stress or tone behavior - root length constraints - semantic domain pressure - historical proto-form constraints - taboo or register restrictions Example phonotactic seed: ```text syllable shapes: CV, CVC, CVN constraints: voiced stops absent liquids appear only in ritual or archaic strata word-final nasals mark old collective nouns high vowels are common in proximity/deixis roots ``` Semantic clustering can assign nearby meanings related root shapes, but with restraint. A language where every fire word starts with the same obvious chunk feels like a toy. A faint family resemblance is better than a nametag. Example root family: ```text root: tal domain: witness/perception core: to become responsible by seeing derived: tal-en: witness-person tal-ru: visible evidence mi-tal: to refuse responsibility for what was seen ``` ## Morphology Morphology is where alienness can become structural instead of cosmetic. Decide what the language obligatorily marks. Human languages already vary wildly here; alien ones can push harder, as long as the pressure follows from the world and speakers. Possible obligatory categories: - evidence source: seen, inferred, told, dreamed, mathematically derived - ecological role: edible, symbiotic, poisonous, sacred, tool-like - social relation: kin, oath-bound, temporary ally, outside-oath, rival - phase: becoming, stable, decaying, returning - possession: detachable, bodily, inherited, stolen, mutually-constituting - risk or taboo: safe to name, indirect name required, silence required Example morphology sketch: ```text root: kan = shared life-water kan-a water as present resource kan-ir water as owed or withheld kan-oth water witnessed as contaminated kan-ma water in reciprocal stewardship ``` The morphology should make speakers say the things their culture cannot ignore. ## Syntax Pick a structural spine, then bend it intentionally. Syntax should not merely encode English with different word order. It should interact with the ontology and morphology. Possible choices: - verb-final clauses with topic-first discourse - evidentials hosted on the clause edge - noun incorporation for routine actions - no adjective class; qualities are stative verbs - relative clauses replaced by chained participles - questions marked by evidential mismatch rather than word order - switch-reference markers for social or perceptual continuity Example: ```text English: I saw the stranger steal water. Syntax pressure: witnessed-event clause outside-oath agent shared-resource patient speaker takes report obligation by seeing ``` The output should not just mean "I saw X steal Y." It should encode that seeing created responsibility. ## Lexical Semantics Words should have concept cards, not one-line English replacements. Each root or lexical item should track: - core meaning - domain - metaphorical extensions - contrast set - taboo or ritual usage - derived forms - examples - false friends with English glosses Example concept card: ```text root: tal domain: perception / witness core: to become responsible by seeing extensions: legal witnessing omen recognition public acknowledgment contrast: passive noticing without social force is a different root derived: tal-en: witness-person tal-ru: visible evidence mi-tal: to refuse to acknowledge what was seen false friend: not equivalent to English "see" ``` This is how Weksa avoids making a dictionary of costumes. ## Interlingua Do not translate English directly into alien words. Translate English into a Weksa interlingua packet first. Example source: ```text I saw the stranger steal water. ``` Example interlingua packet: ```yaml interlingua_version: 0.1-draft packet_id: example-theft-001 kind: utterance provenance: source_type: authored referents: - id: speaker kind: person - id: stranger kind: person attributes: social_status: outside_oath - id: water kind: abstract attributes: ecological_status: shared_life_resource predications: - id: theft predicate: steal aspect: completed evidentiality: direct_visual roles: agent: stranger patient: water experiencer: speaker extensions: example.moral_frame: obligation_to_report ``` Then render that through the alien ontology and grammar. The interlingua is the translation hinge: it lets English stop being the hidden skeleton of the target language. ## Diachrony Believability comes from history, not just design. Generate or record: - older forms - sound changes - semantic drift - fossilized compounds - register splits - loan strata - taboo replacements - irregular sacred forms Example: ```text proto-form: kana = saltwater sound change: unstressed final vowels drop modern form: kan ritual preservation: kana-thul = ancestral tide oath semantic drift: inland dialect extends kan to mean debt because salt transport was tribute-bound ``` A language without accidents feels designed because it is. Diachrony is how the machine earns scars instead of painting them on. ## Model-Assisted Consistency Use models as critics and assistants, not as the source of truth. Good model jobs: - decompose source text into candidate interlingua - suggest ontology splits and collapses - propose metaphorical extensions - generate example sentences from explicit grammar - find places where output is just English in disguise - compare the system to known typological patterns - identify overloaded morphology or unmotivated categories - stress-test a lexicon for contradictions Useful critique prompts: ```text Find places where this grammar preserves English assumptions. ``` ```text Which obligatory categories lack cultural or communicative pressure? ``` ```text Generate 30 sentences from this grammar and identify contradictions in the glosses, morphology, or ontology. ``` ```text Compare this language state to known typological patterns without making it merely human. ``` Model output should become durable only after review and normalization into the explicit language project state. Raw completions are evidence or suggestions, not law. ## Practical System Shape A strong Weksa implementation will likely need: - ontology store - phonotactic generator - morphology engine - grammar renderer - diachrony engine - model prompt layer for decomposition and critique - embedding or retrieval layer for concept clustering - corpus generator - consistency checker Those pieces should appear only when their authority is clear. The durable pipeline is: ```text source text -> interlingua -> alien ontology -> grammar -> morphology -> phonology -> diachrony -> renderer -> surface text + gloss + trace ``` That gets Weksa something grounded, generative, and strange for reasons deeper than apostrophes.