Documentation

Linglib.Studies.Bybee1985

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 #

Main results #

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.

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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).

      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 :

        The languages confirming the predicted order.

      • furtherCount :

        The languages showing the opposite order.

      • total :

        The languages having both categories, testable or not.

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        def Bybee1985.instReprOrderPair.repr :
        OrderPairStd.Format
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          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.

            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.

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              A category is surveyed if it appears in any tested Ch 2 §6 pair.

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                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.

                theorem Bybee1985.surveyedCloser_total (a b : BybeeCategory) :
                Surveyed aSurveyed ba bSurveyedCloser a b SurveyedCloser b a

                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 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 :

                  The token frequency, modeling lexical strength.

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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".

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                        A directed typed edge between two forms in the lexical network.

                        • src : String

                          The source form.

                        • dst : String

                          The target form.

                        • The kind of connection.

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                          def Bybee1985.instReprConnection.repr :
                          ConnectionStd.Format
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                            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.

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                              def Bybee1985.instReprNetwork.repr :
                              NetworkStd.Format
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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.

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                                  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.

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                                    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.

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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.