Wire morphology operator composition (PR #2)

- _apply_morphology(): ordered root→prefix→stem→inflection→suffix chain
- _resolved_morphology(): gates on _uses_legacy_root_tags(), preserving
  existing calibrated Hebrew/Greek entries on tag path
- דברים (he-008) is first migrated form; structured path proves
  higher resonance with singular than tag-only compilation
- 231 passed

language_packs/compiler.py

@@ -9,10 +9,17 @@ import numpy as np
 
 from algebra.cl41 import N_COMPONENTS, geometric_product
 from algebra.versor import unitize_versor
-from language_packs.schema import LanguagePackManifest, LanguageRole, LexicalEntry, OOVPolicy
+from language_packs.schema import (
+    LanguagePackManifest,
+    LanguageRole,
+    LexicalEntry,
+    MorphologyEntry,
+    OOVPolicy,
+)
 from vocab.manifold import VocabManifold
 
 if TYPE_CHECKING:
+    from morphology.registry import MorphologyRegistry
     from sensorium.protocol import ModalityVocabulary
 
 
@@ -52,7 +59,82 @@ def _domain_features(domain: str) -> list[tuple[str, float]]:
     ]
 
 
-def _entry_to_coordinate(entry: LexicalEntry) -> np.ndarray:
+_INFLECTION_PRIORITY = (
+    "pos",
+    "binyan",
+    "declension",
+    "tense",
+    "voice",
+    "mood",
+    "aspect",
+    "person",
+    "gender",
+    "number",
+    "case",
+    "state",
+)
+
+
+def _ordered_inflection_items(inflection: dict[str, str]) -> list[tuple[str, str]]:
+    priority = {key: idx for idx, key in enumerate(_INFLECTION_PRIORITY)}
+    return sorted(
+        inflection.items(),
+        key=lambda item: (priority.get(item[0], len(_INFLECTION_PRIORITY)), item[0]),
+    )
+
+
+def _compact_root(root: str) -> str:
+    return root.replace("-", "")
+
+
+def _apply_morphology(vec: np.ndarray, morphology: MorphologyEntry) -> np.ndarray:
+    if morphology.root:
+        vec = geometric_product(vec, _feature_rotor(morphology.root.lower(), "morph:root", 0.08))
+        vec = geometric_product(
+            vec,
+            _feature_rotor(f"root:{_compact_root(morphology.root).lower()}", "morph", 0.12),
+        )
+
+    for idx, prefix in enumerate(morphology.prefix_chain):
+        weight = 0.05 / (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", 0.05))
+
+    for key, value in _ordered_inflection_items(dict(morphology.inflection)):
+        vec = geometric_product(
+            vec,
+            _feature_rotor(key.lower(), "morph:infl-role", 0.01),
+        )
+        vec = geometric_product(
+            vec,
+            _feature_rotor(value.lower(), "morph", 0.035),
+        )
+
+    for idx, suffix in enumerate(morphology.suffix_chain):
+        weight = 0.04 / (idx + 1)
+        vec = geometric_product(
+            vec,
+            _feature_rotor(f"{idx}:{suffix.lower()}", "morph:suffix", weight),
+        )
+
+    return vec
+
+
+def _apply_morphology_tags(vec: np.ndarray, tags: tuple[str, ...], weight: float) -> np.ndarray:
+    for tag in tags:
+        vec = geometric_product(vec, _feature_rotor(tag.lower(), "morph", weight))
+    return vec
+
+
+def _entry_to_coordinate(
+    entry: LexicalEntry,
+    morphology: MorphologyEntry | None = None,
+) -> np.ndarray:
     vec = np.zeros(N_COMPONENTS, dtype=np.float32)
     vec[0] = 1.0
 
@@ -64,28 +146,54 @@ def _entry_to_coordinate(entry: LexicalEntry) -> np.ndarray:
     if pos:
         vec = geometric_product(vec, _feature_rotor(pos, "pos", 0.35))
 
-    for tag in entry.morphology_tags:
-        vec = geometric_product(vec, _feature_rotor(tag.lower(), "morph", 0.15))
+    if morphology is not None:
+        vec = _apply_morphology(vec, morphology)
+    else:
+        vec = _apply_morphology_tags(vec, entry.morphology_tags, 0.15)
 
     vec = geometric_product(vec, _feature_rotor(entry.lemma.lower(), "lemma", 0.1))
     vec = geometric_product(vec, _feature_rotor(entry.surface.lower(), "surface", 0.05))
     return unitize_versor(vec)
 
 
-def compile_entries_to_manifold(entries: list[LexicalEntry]) -> VocabManifold:
+def _uses_legacy_root_tags(entry: LexicalEntry) -> bool:
+    return any(
+        tag.startswith("root:") or tag.startswith("triliteral:")
+        for tag in entry.morphology_tags
+    )
+
+
+def _resolved_morphology(
+    entry: LexicalEntry,
+    morphology_registry: "MorphologyRegistry | None",
+) -> MorphologyEntry | None:
+    if morphology_registry is None or not entry.morphology_id:
+        return None
+    if _uses_legacy_root_tags(entry):
+        return None
+    return morphology_registry.get(entry.morphology_id)
+
+
+def compile_entries_to_manifold(
+    entries: list[LexicalEntry],
+    morphology_registry: "MorphologyRegistry | None" = None,
+) -> VocabManifold:
     manifold = VocabManifold()
     for entry in entries:
-        versor = _entry_to_coordinate(entry)
+        versor = _entry_to_coordinate(entry, _resolved_morphology(entry, morphology_registry))
         manifold.add(entry.surface, versor)
     return manifold
 
 
-def compile_entries_to_modality_vocab(entries: list[LexicalEntry]) -> "ModalityVocabulary[str]":
+def compile_entries_to_modality_vocab(
+    entries: list[LexicalEntry],
+    morphology_registry: "MorphologyRegistry | None" = None,
+) -> "ModalityVocabulary[str]":
     from sensorium.protocol import ModalityVocabulary
 
     vocab: ModalityVocabulary[str] = ModalityVocabulary()
     for entry in entries:
-        point = _entry_to_coordinate(entry)
+        point = _entry_to_coordinate(entry, _resolved_morphology(entry, morphology_registry))
         vocab.register_point(entry.surface, point)
     return vocab
 
@@ -118,6 +226,11 @@ def load_pack(pack_id: str) -> tuple[LanguagePackManifest, VocabManifold]:
         raise ValueError(f"Checksum mismatch for {pack_id}: {checksum} != {manifest_payload['checksum']}")
 
     entries = load_pack_entries(pack_id)
+    morphology_registry = None
+    if any(entry.morphology_id for entry in entries):
+        from morphology.registry import load_morphology
+
+        morphology_registry = load_morphology(pack_id)
 
     manifest = LanguagePackManifest(
         pack_id=manifest_payload["pack_id"],
@@ -132,7 +245,7 @@ def load_pack(pack_id: str) -> tuple[LanguagePackManifest, VocabManifold]:
         gate_engaged=manifest_payload.get("gate_engaged", False),
         oov_policy=OOVPolicy(manifest_payload.get("oov_policy", OOVPolicy.FAIL_CLOSED.value)),
     )
-    return manifest, compile_entries_to_manifold(entries)
+    return manifest, compile_entries_to_manifold(entries, morphology_registry=morphology_registry)
 
 
 def load_pack_entries(pack_id: str) -> list[LexicalEntry]:

language_packs/data/he_logos_micro_v1/lexicon.jsonl

@@ -1,4 +1,5 @@
 {"entry_id": "he-001", "surface": "\u05d3\u05d1\u05e8", "lemma": "\u05d3\u05d1\u05e8", "language": "he", "pos": "NOUN", "morphology_id": "he-morph-001", "semantic_domains": ["logos.utterance.word", "logos.core", "communication.articulation", "divine.revelation", "existence.utterance"], "morphology_tags": ["noun", "masculine", "singular", "root:\u05d3\u05d1\u05e8", "triliteral:D-B-R"]}
+{"entry_id": "he-008", "surface": "\u05d3\u05d1\u05e8\u05d9\u05dd", "lemma": "\u05d3\u05d1\u05e8", "language": "he", "pos": "NOUN", "morphology_id": "he-morph-008", "semantic_domains": ["logos.utterance.word", "logos.core", "communication.articulation", "divine.revelation", "existence.utterance", "reference.plural"], "morphology_tags": ["noun", "masculine", "plural"]}
 {"entry_id": "he-002", "surface": "\u05e8\u05d0\u05e9\u05d9\u05ea", "lemma": "\u05e8\u05d0\u05e9\u05d9\u05ea", "language": "he", "pos": "NOUN", "morphology_id": "he-morph-002", "semantic_domains": ["logos.genesis.origin", "logos.core", "origin", "existence.ground", "temporal.absolute"], "morphology_tags": ["noun", "feminine", "singular", "root:\u05e8\u05d0\u05e9", "construct_state"]}
 {"entry_id": "he-003", "surface": "\u05d0\u05d5\u05e8", "lemma": "\u05d0\u05d5\u05e8", "language": "he", "pos": "NOUN", "morphology_id": "he-morph-003", "semantic_domains": ["logos.illumination.photon", "logos.core", "logos.illumination", "divine.revelation", "knowledge.clarity"], "morphology_tags": ["noun", "masculine", "singular", "root:\u05d0\u05d5\u05e8", "triliteral:A-W-R"]}
 {"entry_id": "he-004", "surface": "\u05d7\u05d9\u05d9\u05dd", "lemma": "\u05d7\u05d9\u05d9\u05dd", "language": "he", "pos": "NOUN", "morphology_id": "he-morph-004", "semantic_domains": ["logos.vitality.animate", "logos.core", "vitality", "existence.manifestation", "being.animate"], "morphology_tags": ["noun", "masculine", "plural", "root:\u05d7\u05d9\u05d4", "triliteral:H-Y-H"]}

language_packs/data/he_logos_micro_v1/manifest.json

@@ -6,7 +6,7 @@
   "normalization_policy": "unitize_versor",
   "source_manifest": "he_logos_micro_v1.lexicon.jsonl",
   "determinism_class": "D0",
-  "checksum": "6e2f30175937c56cae276007d9865555beb5dd0759925660ab259c54a67d7b1d",
+  "checksum": "a419d50f0bd9e326969e358d9f83ac7c56f0ed82cf1c3caba05cda7e06c5fbe0",
   "version": "1.0.0",
   "gate_engaged": true,
   "oov_policy": "fail_closed"

language_packs/data/he_logos_micro_v1/morphology.jsonl

@@ -1,4 +1,5 @@
 {"morphology_id": "he-morph-001", "surface": "\u05d3\u05d1\u05e8", "lemma": "\u05d3\u05d1\u05e8", "language": "he", "root": "\u05d3-\u05d1-\u05e8", "prefix_chain": [], "stem": "\u05d3\u05d1\u05e8", "inflection": {"pos": "noun", "gender": "masculine", "number": "singular"}, "suffix_chain": []}
+{"morphology_id": "he-morph-008", "surface": "\u05d3\u05d1\u05e8\u05d9\u05dd", "lemma": "\u05d3\u05d1\u05e8", "language": "he", "root": "\u05d3-\u05d1-\u05e8", "prefix_chain": [], "stem": "\u05d3\u05d1\u05e8", "inflection": {"pos": "noun", "gender": "masculine", "number": "plural"}, "suffix_chain": ["\u05d9\u05dd"]}
 {"morphology_id": "he-morph-002", "surface": "\u05e8\u05d0\u05e9\u05d9\u05ea", "lemma": "\u05e8\u05d0\u05e9\u05d9\u05ea", "language": "he", "root": "\u05e8-\u05d0-\u05e9", "prefix_chain": [], "stem": "\u05e8\u05d0\u05e9", "inflection": {"pos": "noun", "gender": "feminine", "number": "singular", "state": "construct"}, "suffix_chain": ["\u05d9\u05ea"]}
 {"morphology_id": "he-morph-003", "surface": "\u05d0\u05d5\u05e8", "lemma": "\u05d0\u05d5\u05e8", "language": "he", "root": "\u05d0-\u05d5-\u05e8", "prefix_chain": [], "stem": "\u05d0\u05d5\u05e8", "inflection": {"pos": "noun", "gender": "masculine", "number": "singular"}, "suffix_chain": []}
 {"morphology_id": "he-morph-004", "surface": "\u05d7\u05d9\u05d9\u05dd", "lemma": "\u05d7\u05d9\u05d9\u05dd", "language": "he", "root": "\u05d7-\u05d9-\u05d4", "prefix_chain": [], "stem": "\u05d7\u05d9", "inflection": {"pos": "noun", "gender": "masculine", "number": "plural"}, "suffix_chain": ["\u05d9\u05dd"]}

tests/test_holonomy_resonance.py

@@ -5,6 +5,8 @@ import numpy as np
 from algebra.cga import cga_inner
 from algebra.holonomy import holonomy_encode, holonomy_similarity
 from language_packs import load_pack
+from language_packs.compiler import compile_entries_to_manifold, load_pack_entries
+from morphology.registry import load_morphology
 
 
 def _encode(manifold, tokens: list[str]) -> np.ndarray:
@@ -58,3 +60,24 @@ def test_word_order_permutation_changes_holonomy():
     a = _encode(en, ["word", "truth", "light", "life"])
     b = _encode(en, ["life", "word", "truth", "light"])
     assert abs(holonomy_similarity(a, b) - holonomy_similarity(a, a)) > 1e-4
+
+
+def test_same_root_hebrew_forms_land_closer_than_unrelated_noun():
+    _, he = load_pack("he_logos_micro_v1")
+
+    singular = he.get_versor("דבר")
+    plural = he.get_versor("דברים")
+    unrelated = he.get_versor("ראשית")
+
+    assert cga_inner(singular, plural) > cga_inner(singular, unrelated)
+
+
+def test_structured_morphology_improves_same_root_hebrew_resonance():
+    entries = load_pack_entries("he_logos_micro_v1")
+    tag_only = compile_entries_to_manifold(entries)
+    structured = compile_entries_to_manifold(entries, load_morphology("he_logos_micro_v1"))
+
+    tag_only_score = cga_inner(tag_only.get_versor("דבר"), tag_only.get_versor("דברים"))
+    structured_score = cga_inner(structured.get_versor("דבר"), structured.get_versor("דברים"))
+
+    assert structured_score > tag_only_score

tests/test_morphology_registry.py

@@ -9,11 +9,16 @@ from morphology.registry import MorphologyRegistry, load_morphology
 def test_hebrew_morphology_registry_loads_triliteral_roots():
     registry = load_morphology("he_logos_micro_v1")
 
-    assert len(registry) == 7
+    assert len(registry) == 8
     davar = registry.require("he-morph-001")
     assert davar.surface == "\u05d3\u05d1\u05e8"
     assert davar.root == "\u05d3-\u05d1-\u05e8"
     assert davar.inflection["gender"] == "masculine"
+    devarim = registry.require("he-morph-008")
+    assert devarim.surface == "\u05d3\u05d1\u05e8\u05d9\u05dd"
+    assert devarim.root == davar.root
+    assert devarim.suffix_chain == ("\u05d9\u05dd",)
+    assert devarim.inflection["number"] == "plural"
 
 
 def test_greek_morphology_registry_preserves_ordered_prefix_and_suffix():