Key learner words by language and lemma, not by meaning wording - #66
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After a couple of conversations the word list held "version" four times:
"a version" with three paraphrased senses and "version" once, each with
its own recall bars. Word identity included the model-written meaning,
so any paraphrase or article change created a new word.
A word is now keyed by language plus a normalised lemma: NFC, lowercase,
collapsed whitespace, and a leading article stripped per language
(`lemmaPrefixes` on each LanguageModule: a/an/the, el/la/…, l', the
Norwegian infinitive marker å, none for Mandarin). The meaning no longer
takes part in identity; the displayed meaning and lemma keep coming from
the latest observation.
Because LearningEngine.project recomputes keys from the raw assessments,
existing archives merge on the next projection with no migration: the
observations of every former duplicate now feed one entry, so recall
days and contexts add up instead of being split. Stored hiddenWords may
still carry the meaning as a third segment; project normalises them the
same way, so words hidden before this change stay hidden and hiding a
word now hides all of its wordings.
Homographs within a language ("bank" river / money) now share an entry;
that trade-off is accepted over duplicating every paraphrase.
The shared cross-platform fixture gains a session with "a version" and
"version" under two senses, and expects one `en|version` entry, so both
cores are held to the same merge. Existing expectations that spelled
the old three-segment key are updated.
Closes Chuloo#7
Keying words by lemma already merges paraphrased meanings, but the meaning shown for a word is the one from its latest observation, so it could still flip wording between conversations. The assessment prompt now asks the model to reuse one stable sense for the same lemma and not to vary articles, on iOS and Android alike. Sentence adopted from Chuloo#64.
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Included review availability: Your plan provides up to 4 included reviews per hour; 2 remain after this review. 📝 WalkthroughWalkthroughThe Android and iOS clients now use normalized, language-scoped lemma keys without meanings. Language modules define removable lemma prefixes. Hidden-word filtering supports legacy keys, and tests and fixtures validate grouped evidence and stable senses. ChangesVocabulary key normalization
Priority: ➖ Normal Estimated code review effort: 3 (Moderate) | ~25 minutes Change: Bug fix · Severity of issue fixed: Medium Sequence Diagram(s)sequenceDiagram
participant Assessment
participant WordProposal
participant LearningEngine
participant Archive
Assessment->>WordProposal: provide lemma and meaning
WordProposal->>WordProposal: normalize lemma and build lemma-only key
LearningEngine->>WordProposal: derive keys for projected evidence
LearningEngine->>Archive: store grouped word evidence
LearningEngine->>LearningEngine: normalize legacy hidden keys
Merge Risk: ⚪ Minimal · up to The vocabulary-key change has no confirmed merge-blocking regression in the inspected cross-platform paths. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
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Android's Languages.kt is generated from the Swift language files by scripts/export_android_content.py, and CI's contracts job checks the two never drift. The generator only knew the string fields plus teachingFocus and themeOverrides, so the lemmaPrefixes array added for word keys made the check fail and had been copied into Languages.kt by hand. The generator now treats lemmaPrefixes as a structured field: when the Swift struct declares it, every module must define it and the Kotlin module gets the same listOf(...), Mandarin's being empty. Languages.kt is regenerated from the script, which is the same content as before with the field emitted in the generator's argument order.
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Inline comments:
In `@apps/ios/Core/Languages/German.swift`:
- Line 10: Update German lemmaPrefixes in the German language definitions to
include den, dem, des, einen, einem, einer, and eines alongside the existing
articles; regenerate Android’s Languages.kt from the shared definitions and
extend the iOS WordProposal.key and Android wordKey tests to verify these forms
produce the same vocabulary key.
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apps/android/app/src/main/java/chat/mural/core/Languages.ktapps/android/app/src/main/java/chat/mural/core/LearningEngine.ktapps/android/app/src/main/java/chat/mural/core/Models.ktapps/android/app/src/main/java/chat/mural/core/TeachingPolicy.ktapps/android/app/src/test/java/chat/mural/core/CoreTest.ktapps/android/app/src/test/java/chat/mural/core/EvidenceTest.ktapps/android/app/src/test/java/chat/mural/core/UnicodeEquivalenceTest.ktapps/ios/Core/Languages/English.swiftapps/ios/Core/Languages/French.swiftapps/ios/Core/Languages/German.swiftapps/ios/Core/Languages/Italian.swiftapps/ios/Core/Languages/LanguageModule.swiftapps/ios/Core/Languages/Mandarin.swiftapps/ios/Core/Languages/Norwegian.swiftapps/ios/Core/Languages/Portuguese.swiftapps/ios/Core/Languages/Spanish.swiftapps/ios/Core/LearningEngine.swiftapps/ios/Core/Models.swiftapps/ios/Core/TeachingPolicy.swiftapps/ios/Tests/LanguageTests.swiftapps/ios/Tests/LearningTests.swiftscripts/export_android_content.pyscripts/tests/test_export_android_content.pyshared/fixtures/cross-platform/archive-expected.jsonshared/fixtures/cross-platform/archive.json
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German lemmas are asked for in the nominative, but a lemma that arrives as "den Hund" or "einem Freund" would still key apart from "der Hund" and "ein Freund". The German prefix list now covers the accusative, dative and genitive forms of the definite and indefinite article; none of them starts a German dictionary word, so nothing else is affected. Languages.kt is regenerated from the Swift module.
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Learner words are now keyed by language and normalised lemma instead of
language|lemma|meaning, on iOS and Android alike. The meaning the model writes no longer takes part in a word's identity, so paraphrases ("a particular form or release of software" / "…of something" / "…of a product") and article variants ("a version" / "version") land on one entry whose recall bars add up the evidence of every former duplicate. Normalisation is NFC after lowercasing, collapsed Unicode whitespace, and a leading article stripped per language through a newlemmaPrefixesfield onLanguageModule(a/an/the; el/la/los/las/un/una/unos/unas; l'/un' elisions; French partitives; the Norwegian infinitive marker å; none for Mandarin). The displayed lemma and meaning keep coming from the latest observation.Existing archives need no migration:
LearningEngine.projectrecomputes keys from the raw assessments, so duplicates merge on the next projection and nothing stored is rewritten. LegacyhiddenWordsstill carry the meaning as a third segment;projectnormalises those the same way, while ids stored after this change are used as projected. Hiding a word now hides all of its wordings. Homographs within one language ("bank" river / money) share an entry; that trade-off is accepted over duplicating every paraphrase.Closes #7
Relation to #64: same identity model (
language|normalised lemma, keys recomputed at projection), opened independently the same day; the differences are the ones listed in my review there — article lists scoped per language instead of one global list (soas well,i dag,a veceskeep their first word), NFC applied after lowercasing, legacy hidden keys converted only at projection instead of rewritten on decode, Unicode whitespace collapsed, and tests per language on both platforms plus a duplicate-"version" session in the shared fixture. The assessment-prompt sentence asking for one stable sense per lemma is adopted from #64.Before / after on Android (main
60bd6d3vs this branch, same seeded archive: four "version" observations across three conversations, two paraphrased senses each for "a version" and "version"):The merged entry still reads "Fragile" because its last recall is older than the four-day interval; strength decay is unchanged.
Validation:
EvidenceTestcases cover paraphrase merging, article/case/spacing normalisation per language, indefinite plurals, partitives and elidedun', NFC after lowercasing, Unicode whitespace, legacy and current hidden keys, and hiding a projected id without touching a neighbouring word.swift teston a Linux Swift 6.2 toolchain (the four CryptoKit/CoreFoundation-only files —ManagedAccountProtocol,MandarinPinyinand their tests — could not run there and rely on the macOS CI job). The same cases as Android are mirrored inLearningTests.en|versionentry, so both cores are held to the same merge.learning.json; no live provider request was made. iOS screenshots are not included: no macOS machine was available.Summary by CodeRabbit
New Features
Improvements