diff --git a/language_packs/compiler.py b/language_packs/compiler.py index f3af1e68..413b96f3 100644 --- a/language_packs/compiler.py +++ b/language_packs/compiler.py @@ -94,33 +94,33 @@ def _compact_root(root: str) -> str: _HEBREW_ROOT_ROMANIZATION = { - "א": "A", - "ב": "B", - "ג": "G", - "ד": "D", - "ה": "H", - "ו": "W", - "ז": "Z", - "ח": "H", - "ט": "T", - "י": "Y", - "כ": "K", - "ך": "K", - "ל": "L", - "מ": "M", - "ם": "M", - "נ": "N", - "ן": "N", - "ס": "S", - "ע": "A", - "פ": "P", - "ף": "P", - "צ": "TS", - "ץ": "TS", - "ק": "Q", - "ר": "R", - "ש": "SH", - "ת": "T", + "\u05d0": "A", + "\u05d1": "B", + "\u05d2": "G", + "\u05d3": "D", + "\u05d4": "H", + "\u05d5": "W", + "\u05d6": "Z", + "\u05d7": "H", + "\u05d8": "T", + "\u05d9": "Y", + "\u05db": "K", + "\u05da": "K", + "\u05dc": "L", + "\u05de": "M", + "\u05dd": "M", + "\u05e0": "N", + "\u05df": "N", + "\u05e1": "S", + "\u05e2": "A", + "\u05e4": "P", + "\u05e3": "P", + "\u05e6": "TS", + "\u05e5": "TS", + "\u05e7": "Q", + "\u05e8": "R", + "\u05e9": "SH", + "\u05ea": "T", } @@ -136,6 +136,14 @@ def _triliteral_root(root: str) -> str: def _apply_morphology(vec: np.ndarray, morphology: MorphologyEntry) -> np.ndarray: + # Weight hierarchy: + # triliteral root 0.22 — shared abstract identity, strongest anchor + # root 0.30 — primary root geometry + # stem 0.18 — same-root forms cluster here + # inflection role 0.015 — key label, minimal perturbation + # inflection value 0.03 — number/gender/etc, perturbation only + # prefix 0.03/pos — small positional perturbation + # suffix 0.02/pos — smallest, inflectional tail only if morphology.root: if _is_hebrew_root(morphology.root): vec = geometric_product( @@ -143,36 +151,36 @@ def _apply_morphology(vec: np.ndarray, morphology: MorphologyEntry) -> np.ndarra _feature_rotor( f"triliteral:{_triliteral_root(morphology.root).lower()}", "morph", - 0.13, + 0.22, ), ) vec = geometric_product( vec, - _feature_rotor(f"root:{_compact_root(morphology.root).lower()}", "morph", 0.17), + _feature_rotor(f"root:{_compact_root(morphology.root).lower()}", "morph", 0.30), ) for idx, prefix in enumerate(morphology.prefix_chain): - weight = 0.05 / (idx + 1) + weight = 0.03 / (idx + 1) vec = geometric_product( vec, _feature_rotor(f"{idx}:{prefix.lower()}", "morph:prefix", weight), ) if morphology.stem: - vec = geometric_product(vec, _feature_rotor(morphology.stem.lower(), "morph:stem", 0.10)) + vec = geometric_product(vec, _feature_rotor(morphology.stem.lower(), "morph:stem", 0.18)) for key, value in _ordered_inflection_items(dict(morphology.inflection)): vec = geometric_product( vec, - _feature_rotor(key.lower(), "morph:infl-role", 0.02), + _feature_rotor(key.lower(), "morph:infl-role", 0.015), ) vec = geometric_product( vec, - _feature_rotor(value.lower(), "morph", 0.05), + _feature_rotor(value.lower(), "morph", 0.03), ) for idx, suffix in enumerate(morphology.suffix_chain): - weight = 0.04 / (idx + 1) + weight = 0.02 / (idx + 1) vec = geometric_product( vec, _feature_rotor(f"{idx}:{suffix.lower()}", "morph:suffix", weight), @@ -226,23 +234,18 @@ def _alignment_nudge_rotor( full-arc rotor, then scales the bivector angle by *strength* via slerp. Falls back to identity if source and target are anti-parallel (degenerate). """ - # Full-arc rotor: R = target * reverse(source) from algebra.cl41 import reverse as cl_reverse R_full = geometric_product(target, cl_reverse(source)) - # Extract scalar and bivector norm to find the full rotation angle scalar = float(R_full[0]) - # Clamp to valid acos domain scalar = max(-1.0, min(1.0, scalar)) - theta_full = float(np.arccos(scalar)) # half-angle of full rotation + theta_full = float(np.arccos(scalar)) if abs(theta_full) < 1e-6: - # Already aligned — identity rotor identity = np.zeros(N_COMPONENTS, dtype=np.float32) identity[0] = 1.0 return identity - # Bivector part of R_full (components 1..N_COMPONENTS-1) biv = R_full.copy() biv[0] = 0.0 biv_norm = float(np.linalg.norm(biv)) @@ -252,10 +255,7 @@ def _alignment_nudge_rotor( identity[0] = 1.0 return identity - # Unit bivector biv_unit = biv / biv_norm - - # Scale angle by strength theta_nudge = theta_full * strength nudge = np.zeros(N_COMPONENTS, dtype=np.float32) @@ -386,14 +386,9 @@ def load_pack(pack_id: str) -> tuple[LanguagePackManifest, VocabManifold]: entries, morphology_registry=morphology_registry ) - # Alignment correction pass: load the sibling pack(s) referenced by - # this pack's alignment.jsonl and nudge aligned pairs into proximity. - # This is only attempted when a sibling pack exists on disk; missing - # sibling packs are silently skipped so packs remain independently loadable. from alignment.graph import load_alignment alignment_graph = load_alignment(pack_id) if len(alignment_graph) > 0: - # Collect all foreign pack_ids referenced by this pack's edges foreign_pack_ids = _infer_foreign_pack_ids(pack_id, alignment_graph) for foreign_pack_id in foreign_pack_ids: foreign_pack_dir = Path(__file__).parent / "data" / foreign_pack_id @@ -424,9 +419,9 @@ def _infer_foreign_pack_ids( Derive foreign pack_ids from target_id prefixes in the alignment graph. Convention: target_id is "-NNN" where lang_prefix maps to - a known pack directory name. Currently supports he ↔ grc cross-links. + a known pack directory name. Currently supports he <-> grc cross-links. """ - from alignment.graph import AlignmentGraph # local import to avoid cycle + from alignment.graph import AlignmentGraph # noqa: F401 local import to avoid cycle _PREFIX_TO_PACK: dict[str, str] = { "he": "he_logos_micro_v1",