Bybee (1985): relevance and the dynamic lexicon #
[Byb85] (Morphology: A Study of the Relation Between Meaning and Form, Typological Studies in Language 9) tests the relevance hypothesis on a 50-language stratified probability sample ([Per80]): a morpheme category whose meaning is more relevant to the verb stem (a) occurs more often as inflection cross-linguistically, (b) sits closer to the stem in suffixal morphology, and (c) fuses more tightly with it.
This file formalizes the data behind claims (a) and (b) — the Ch 2 §5 frequency
surveys and the Ch 2 §6 morpheme-order counts — and grounds the substrate's
relevance order (MorphCategory.peripherality, via RelevanceLT / RelevanceLE)
in that evidence. Claim (c), fusion, is qualitative in the source and is not
formalized. The second half formalizes Ch 5's dynamic network model of the
lexicon: lexical strength, lexical connection, and the strong-verb frequency
table.
Main definitions #
BybeeCategory— the verbal-inflectional categories of Ch 2, in relevance order.inflectionalCount50,derivOrInflCount50— the Ch 2 §5 frequency surveys (Figs 1+2).orderPairs— the Ch 2 §6 morpheme-order counts, oneOrderPairper tested category pair.toMorphCategory— the embedding ofBybeeCategoryinto the substrateMorphCategory.SurveyedCloser— the stem-proximity order derived fromorderPairs.LexicalEntry,Network— the Ch 5 dynamic network: entries with token frequency (lexical strength) and typed connections (lexical connection).Network.HasMorphologicalRelation— the Ch 5 §5 derived relation: parallel semantic and phonological connections.strongStillStrong,strongRegularized— the Ch 5 §6 strong-verb frequency table.
Main results #
valence_highest_when_derivOrInfl,valence_lowest_when_inflectional— the relevance and generality frequency predictions.predicted_outnumbers_counter,aspect_categorical_against_tense_and_mood— the order predictions.survey_order_iso_relevance— on the surveyed categoriesSurveyedCloserand the substrateRelevanceLTcoincide viatoMorphCategory: the hierarchy is the order the §6 survey forces, not a stipulated table.bybeeSurveyedOrder_respects_hierarchy— closes the loop toRespectsRelevanceHierarchy.strong_verbs_higher_frequency_than_regularized— the Ch 5 §6 diachronic claim: still-Strong verbs have a strictly higher mean token frequency than the regularized ones.
Implementation notes #
Out of scope: Ch 1 fusion/allomorphy, Ch 3 paradigm organization, Ch 4's
lexical-derivational-inflectional continuum (which no discrete status
enum expresses — flagged for future work), and Part II tense/aspect/mood
detail (Ch 6-9). MorphCategory.RelevanceLT is exercised independently by
Studies/HahnDegenFutrell2021Morphology.lean; the BybeeCategory enum and
toMorphCategory bridge feed Studies/RathiHahnFutrell2026.lean. Not yet
covered from Ch 5: the frequency-connection interaction (high-frequency items
form more distant connections — the autonomy half of the model), and §10-§11
schema emergence and productivity from class size.
Verbal categories (Ch 2 §3) #
Bybee's six core categories in relevance order: valence, voice, aspect, tense, mood, agreement (number/person/gender are agreement sub-types).
Bybee's Ch 2 verbal-inflectional categories, in her relevance order (stem first). Constructor docstrings quote the coding definitions of Ch 2 §4.
- valence : BybeeCategory
Differences in the number or role of the arguments the verb stem takes.
- voice : BybeeCategory
The perspective from which the situation described by the verb stem is viewed.
- aspect : BybeeCategory
The way the internal temporal constituency of the situation is viewed.
- tense : BybeeCategory
The situation's placement in time, relative to the moment of speech or some other established point.
- mood : BybeeCategory
The way the speaker presents the truth of the proposition: probability, possibility, certainty; evidentials are included under mood.
- numberAgr : BybeeCategory
Concord by number with one or more arguments of the verb.
- personAgr : BybeeCategory
Concord by person with the subject.
- personAgrObj : BybeeCategory
Concord by person with the object.
- genderAgr : BybeeCategory
Concord with arguments by lexical class, assigned arbitrarily or by inherent qualities of the referent.
Instances For
Equations
- Bybee1985.instDecidableEqBybeeCategory x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
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Instances For
Equations
- Bybee1985.instReprBybeeCategory = { reprPrec := Bybee1985.instReprBybeeCategory.repr }
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Cross-linguistic frequency (Ch 2 §5, Figs 1+2) #
Fig 1 counts the 50-sample languages with inflectional expression of a category; Fig 2 counts those with inflectional or derivational expression. Counts are integers because the sample is exactly 50 (count = percentage / 2).
Languages (of 50) with inflectional expression of c (Fig 1).
Equations
- Bybee1985.inflectionalCount50 Bybee1985.BybeeCategory.valence = 3
- Bybee1985.inflectionalCount50 Bybee1985.BybeeCategory.voice = 13
- Bybee1985.inflectionalCount50 Bybee1985.BybeeCategory.aspect = 26
- Bybee1985.inflectionalCount50 Bybee1985.BybeeCategory.tense = 24
- Bybee1985.inflectionalCount50 Bybee1985.BybeeCategory.mood = 34
- Bybee1985.inflectionalCount50 Bybee1985.BybeeCategory.numberAgr = 27
- Bybee1985.inflectionalCount50 Bybee1985.BybeeCategory.personAgr = 28
- Bybee1985.inflectionalCount50 Bybee1985.BybeeCategory.personAgrObj = 14
- Bybee1985.inflectionalCount50 Bybee1985.BybeeCategory.genderAgr = 8
Instances For
Languages (of 50) with inflectional or derivational expression of c
(Fig 2). Valence reaches 90% once valence-changing derivation is counted; only
Haitian, Karankawa, Navaho, Serbo-Croatian, and Vietnamese lack it.
Equations
- Bybee1985.derivOrInflCount50 Bybee1985.BybeeCategory.valence = 45
- Bybee1985.derivOrInflCount50 Bybee1985.BybeeCategory.voice = 28
- Bybee1985.derivOrInflCount50 Bybee1985.BybeeCategory.aspect = 37
- Bybee1985.derivOrInflCount50 Bybee1985.BybeeCategory.tense = 25
- Bybee1985.derivOrInflCount50 Bybee1985.BybeeCategory.mood = 34
- Bybee1985.derivOrInflCount50 Bybee1985.BybeeCategory.numberAgr = 33
- Bybee1985.derivOrInflCount50 Bybee1985.BybeeCategory.personAgr = 28
- Bybee1985.derivOrInflCount50 Bybee1985.BybeeCategory.personAgrObj = 14
- Bybee1985.derivOrInflCount50 Bybee1985.BybeeCategory.genderAgr = 8
Instances For
Prediction (a), deriv+infl: valence is the most frequent category, reflecting near-universal valence-changing morphology.
The generality prediction: restricted to inflection, valence is the least frequent category (6%, down from 90%) — generality "predicts fewer inflections among the most highly relevant categories", because highly relevant morphology is rarely obligatory across all stems.
In the deriv+infl survey (Fig 2), gender agreement is the least frequent category — Bybee's least-relevant verbal category. (Inflection-only, valence drops below gender, so Fig 2 is the relevance-faithful ranking.)
Morpheme order (Ch 2 §6) #
Prediction (b): the most relevant categories sit closest to the stem, the least relevant furthest. Bybee tests the four most frequent — aspect, tense, mood, person — counting, per pair, how many languages place one closer than the other. A language with both categories is untestable when the morphemes are portmanteau, on opposite sides of the stem (unless only one is stem-adjacent), or mutually exclusive in one slot; a morpheme expressed by stem modification counts as closer than one expressed by affixation.
A Ch 2 §6 morpheme-order pair.
- closer : BybeeCategory
The category predicted closer to the stem.
- further : BybeeCategory
The category predicted further from the stem.
- closerCount : ℕ
The languages confirming the predicted order.
- furtherCount : ℕ
The languages showing the opposite order.
- total : ℕ
The languages having both categories, testable or not.
Instances For
Equations
- Bybee1985.instReprOrderPair = { reprPrec := Bybee1985.instReprOrderPair.repr }
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Instances For
The six pairs Bybee tests in Ch 2 §6; counts verified against the book, each inline comment quoting its source passage.
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Aspect vs. tense and aspect vs. mood are categorical: zero counterexamples in the whole sample, the strongest confirmations Bybee reports.
Mood vs. person is the freest pair — "the ordering of mood and person is somewhat freer" — cross-multiplied: every other tested pair has a strictly smaller counterexample rate.
In every one of the six pairs the predicted direction outnumbers the counter-direction (Ch 2 §6 summary).
Connection to substrate MorphCategory.peripherality #
MorphCategory.peripherality (in Morphology/RelevanceHierarchy.lean) numerically
encodes the hierarchy — lower = closer to stem = more relevant — faithfully to
Ch 2 §3 for the six core categories. Its extensions (derivation, degree,
negation, nonfinite) are linglib additions, not Bybee's.
Embed BybeeCategory into the substrate MorphCategory. All four agreement
subtypes collapse to .agreement: Bybee's verbal-number agreement sits at the
low-relevance (rank-8) end with person and gender, not with nominal .number
(rank 3). Subject vs object is preserved via the controller role.
Equations
- Bybee1985.toMorphCategory Bybee1985.BybeeCategory.valence = Morphology.MorphCategory.valence
- Bybee1985.toMorphCategory Bybee1985.BybeeCategory.voice = Morphology.MorphCategory.voice
- Bybee1985.toMorphCategory Bybee1985.BybeeCategory.aspect = Morphology.MorphCategory.aspect
- Bybee1985.toMorphCategory Bybee1985.BybeeCategory.tense = Morphology.MorphCategory.tense
- Bybee1985.toMorphCategory Bybee1985.BybeeCategory.mood = Morphology.MorphCategory.mood
- Bybee1985.toMorphCategory Bybee1985.BybeeCategory.numberAgr = Morphology.MorphCategory.agreement Agreement.Controller.subj
- Bybee1985.toMorphCategory Bybee1985.BybeeCategory.personAgr = Morphology.MorphCategory.agreement Agreement.Controller.subj
- Bybee1985.toMorphCategory Bybee1985.BybeeCategory.personAgrObj = Morphology.MorphCategory.agreement Agreement.Controller.obj
- Bybee1985.toMorphCategory Bybee1985.BybeeCategory.genderAgr = Morphology.MorphCategory.agreement Agreement.Controller.subj
Instances For
The substrate relevance order is strictly increasing along the six Ch 2 §3 categories: it reproduces valence < voice < aspect < tense < mood < agreement.
Grounding the hierarchy in the survey #
On the four categories Bybee surveyed (aspect, tense, mood, person), the
substrate order is not a free choice: SurveyedCloser, derived from
orderPairs, coincides with RelevanceLT via toMorphCategory
(survey_order_iso_relevance). So a RespectsRelevanceHierarchy check over
these categories rests on an order isomorphism, not a stipulated table.
a is surveyed closer to the stem than b when some tested Ch 2 §6 pair
predicts a closer than b and the language counts confirm that direction
(predicted majority). Derived from orderPairs, not stipulated.
Equations
- Bybee1985.SurveyedCloser a b = ∃ p ∈ Bybee1985.orderPairs, p.closer = a ∧ p.further = b ∧ p.furtherCount < p.closerCount
Instances For
A category is surveyed if it appears in any tested Ch 2 §6 pair.
Equations
- Bybee1985.Surveyed c = ∃ p ∈ Bybee1985.orderPairs, p.closer = c ∨ p.further = c
Instances For
SurveyedCloser is irreflexive: no tested pair ranks a category against
itself.
SurveyedCloser is transitive — the §6 survey tested every pair among its
categories, so the confirmed dominances compose.
SurveyedCloser is total on the surveyed categories: any two distinct
surveyed categories are ordered by the §6 data in exactly one direction. With
irreflexivity and transitivity, the survey alone determines a strict total
order on its four categories.
Order isomorphism: on the surveyed categories, SurveyedCloser and the
substrate RelevanceLT coincide via toMorphCategory. The hierarchy there is
not merely consistent with Bybee's evidence — it is the order the §6 survey
determines.
The stem-outward ordering of the surveyed categories — a literal, but
validated as fully SurveyedCloser-sorted (bybeeSurveyedOrder_sorted) and
exhaustive (bybeeSurveyedOrder_complete).
Equations
Instances For
The data-derived surveyed order satisfies the substrate predicate, closing
the loop between Bybee's §6 evidence and RespectsRelevanceHierarchy.
Ch 5: the dynamic network model #
Ch 5 ("Two Principles in a Dynamic Model of Lexical Representation") abandons
the generative "is it in the lexicon or not?" binary for two gradient, dynamic
notions. Lexical strength (§4): each token of use strengthens an item's
representation ("etching it with deeper and darker lines each time"), and
strength declines with disuse. Lexical connection (§5): items bear typed
connections to other items, and parallel semantic and phonological connections
constitute a morphological relation. Bybee's network model is the usage-based
competitor to the realisational and generative engines in Morphology/; not to
be confused with Network Morphology, the DATR-based default-inheritance
framework.
A stored item in Bybee's Ch 5 lexicon: a form with its token frequency. Frequency models lexical strength — each token of use strengthens the representation, and strength declines with disuse (§4). Bybee's entries pair the form with a meaning; the semantic side of matching is not modeled here.
- form : String
The phonological form.
- tokenFreq : ℕ
The token frequency, modeling lexical strength.
Instances For
Equations
- Bybee1985.instReprLexicalEntry = { reprPrec := Bybee1985.instReprLexicalEntry.repr }
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The kind of a connection between lexical entries (Ch 5 §5): shared semantic
features (tablechair, deepshallow), a shared phonological skeleton
without shared meaning (the two senses of crane), the morphological relation
(parallel semantic and phonological connections), or identity (§7), the mapping
of one word onto an existing representation. Bybee orders their strengths:
purely phonological relations "usually go unnoticed", semantic connections are
"the strongest and the most important" (go~went supports goed), the
morphological relation is the strongest relation between distinct forms, and
"the strongest relations are relations of identity".
- semantic : ConnectionKind
- phonological : ConnectionKind
- morphological : ConnectionKind
- identity : ConnectionKind
Instances For
Equations
- Bybee1985.instDecidableEqConnectionKind x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
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Instances For
Equations
- Bybee1985.instReprConnectionKind = { reprPrec := Bybee1985.instReprConnectionKind.repr }
A directed typed edge between two forms in the lexical network.
- src : String
The source form.
- dst : String
The target form.
- kind : ConnectionKind
The kind of connection.
Instances For
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Instances For
Equations
- Bybee1985.instReprConnection = { reprPrec := Bybee1985.instReprConnection.repr }
A lexical network: entries plus typed connections among them, as in the Ch 5 §8 representation of the Spanish dormir paradigm, whose three stem allomorphs (dwerm, dorm, durm-y) are linked by morphological relations across persons, numbers, and tenses.
- entries : List LexicalEntry
The stored lexical entries.
- connections : List Connection
The typed connections among entries.
Instances For
Equations
- Bybee1985.instReprNetwork = { reprPrec := Bybee1985.instReprNetwork.repr }
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N.IsRelatedBy a b k asserts that network N has a connection of kind k
from form a to form b.
Equations
- N.IsRelatedBy a b k = ∃ c ∈ N.connections, c.src = a ∧ c.dst = b ∧ c.kind = k
Instances For
N.HasMorphologicalRelation a b asserts that a and b stand in both a
semantic and a phonological connection — Ch 5 §5: "if two words are related by
both semantic and phonological connections, then a morphological relation
exists between them". The relation is derived, not primitive;
ConnectionKind.morphological labels edges already so classified.
Equations
Instances For
Ch 5 §6: strong-verb frequencies #
Bybee's central diachronic claim: high-frequency strong verbs maintain their irregularity, low-frequency strong verbs regularize. The table on p. 120 lists the modern descendants of the Strong Verbs of classes I, II, and VII in [Swe82]'s Anglo-Saxon Primer with their all-forms token frequencies from [FK82]. Slit and beat now take the zero allomorph of Past Tense (Bybee's footnote).
The Strong Verbs that have stayed Strong (p. 120), with all-forms token frequencies.
Equations
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Instances For
The Strong Verbs that have regularized or become Weak (p. 120), with all-forms token frequencies.
Equations
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The mean token frequency of the still-Strong verbs strictly exceeds that of
the regularized ones — irregularity survives where lexical strength is high.
Stated as the cross-multiplied sum comparison to stay in Nat.