Bybee 1985: relevance and lexical strength #
A morpheme category whose meaning is more relevant to the verb stem should have morphological expression, inflectional or derivational, in more languages, sit closer to the stem where it is, and fuse with it more tightly; whether the expression is inflectional depends on generality as well, which works against the most relevant categories. This file formalizes the evidence for the first two predictions, from a fifty-language stratified sample: the frequency surveys of chapter 2 and the morpheme-order counts of the same chapter, in which every tested pair confirms the predicted direction and aspect against tense and against mood does so without a single counterexample.
The order those counts determine is then shown to be the relevance hierarchy's order rather than a table chosen to match it: on the four categories the survey covers, the relation derived from the counts and the hierarchy's order are the same. Fusion, the third claim, is qualitative in the source.
Chapter 5's notion of lexical strength closes the file: an irregular verb keeps its irregularity where its token frequency is high, and the Strong Verbs that regularized are the infrequent ones.
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.toRelevanceHierarchy— the hierarchy category of each surveyed category.SurveyedCloser— the stem-proximity order derived fromorderPairs.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 hierarchy's<coincide viatoRelevanceHierarchy: the hierarchy is the order the §6 survey forces, not a stipulated table.bybeeSurveyedOrder_respects_hierarchy— the surveyed order is sorted by the hierarchy.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.
References #
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 paraphrase the coding definitions of Ch 2 §4, which distinguish subject, object and indirect-object agreement; Figures 1 and 2 split only person agreement, into "person" (the text's subject agreement) and "person (object)".
- 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
The relevance prediction, tested on Figure 2, which counts derivational as well as inflectional expression: 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, the last category of Bybee's diagram of relevance, is the least frequent.
Morpheme order (Ch 2 §6) #
The order prediction: 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).
The relevance hierarchy #
The survey codes agreement finer than the hierarchy ranks it: number, person, object person and gender agreement are all the hierarchy's agreement.
The hierarchy category a surveyed category belongs to.
Equations
- Bybee1985.toRelevanceHierarchy Bybee1985.BybeeCategory.valence = Morphology.RelevanceHierarchy.valence
- Bybee1985.toRelevanceHierarchy Bybee1985.BybeeCategory.voice = Morphology.RelevanceHierarchy.voice
- Bybee1985.toRelevanceHierarchy Bybee1985.BybeeCategory.aspect = Morphology.RelevanceHierarchy.aspect
- Bybee1985.toRelevanceHierarchy Bybee1985.BybeeCategory.tense = Morphology.RelevanceHierarchy.tense
- Bybee1985.toRelevanceHierarchy Bybee1985.BybeeCategory.mood = Morphology.RelevanceHierarchy.mood
- Bybee1985.toRelevanceHierarchy Bybee1985.BybeeCategory.numberAgr = Morphology.RelevanceHierarchy.agreement
- Bybee1985.toRelevanceHierarchy Bybee1985.BybeeCategory.personAgr = Morphology.RelevanceHierarchy.agreement
- Bybee1985.toRelevanceHierarchy Bybee1985.BybeeCategory.personAgrObj = Morphology.RelevanceHierarchy.agreement
- Bybee1985.toRelevanceHierarchy Bybee1985.BybeeCategory.genderAgr = Morphology.RelevanceHierarchy.agreement
Instances For
Grounding the hierarchy in the survey #
On the four categories Bybee surveyed (aspect, tense, mood, person), the
hierarchy's order is not a free choice: SurveyedCloser, derived from
orderPairs, coincides with the hierarchy's < via toRelevanceHierarchy
(survey_order_iso_relevance). So a sortedness 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
hierarchy's < coincide via toRelevanceHierarchy. 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 is sorted by the relevance hierarchy, closing the loop between Bybee's §6 evidence and the hierarchy.
Lexical strength #
Chapter 5 replaces the question whether an item is in the lexicon with two gradient notions. Each token of use strengthens an item's representation — "etching it with deeper and darker lines each time" — and strength declines with disuse; and items bear semantic and phonological connections to one another, a parallel pair of which constitutes a morphological relation. The consequence tested below is diachronic: an irregular verb survives as irregular where its lexical strength is high.
The table on p. 120 lists the modern descendants of the Class I, II and VII Strong Verbs of [Swe82]'s Anglo-Saxon Primer with their all-forms token frequencies; slit and beat now take the zero allomorph of the past tense.
A verb with its all-forms token frequency, which is what lexical strength amounts to here.
- verb : String
The verb, by its modern form.
- tokenFreq : ℕ
The all-forms token frequency ([FK82]).
Instances For
Equations
- Bybee1985.instReprVerbFrequency = { reprPrec := Bybee1985.instReprVerbFrequency.repr }
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The Strong Verbs that have stayed Strong (p. 120), with all-forms token frequencies.
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The Strong Verbs that have regularized or become Weak (p. 120), with all-forms token frequencies.
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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.