Documentation

Studies.BakayEtAl2026

Bakay, Akkuş and Dillon (2026): hierarchical relations in antecedent retrieval #

This file formalizes the structural claims behind three visual-world experiments on the Turkish reciprocal birbirleri, which must be bound by a c-commanding antecedent in its own clause. Bakay, Akkuş and Dillon ask whether c-command between the noun phrases of one clause guides antecedent retrieval, and they deconfound it from clause-mateness, case, subjecthood and linear order. The target, an embedded subject or an indirect object, and the distractor, a possessor inside the subject or inside an adjunct noun phrase or the complement of a postposition, share the reciprocal's clause and case. The four embedded structures are phrase-structure trees here, and Principle A over their clause configuration makes the embedded subject and an indirect object available and the matrix subject and every distractor unavailable (available_iff), as the paper's coindexations record (rows_available).

The paper weighs two ways retrieval could use the relation. On the cue-based account of Lewis and Vasishth the reciprocal cues features stored with each candidate, and c-command enters through Kush's local feature, carried by the noun phrases attached to the spine of the current clause or serving as its arguments. On every stimulus that feature holds of exactly the available antecedents (local_iff_available), so the target out-activates each distractor under any weighting that gives the hierarchical cue weight (target_retrieved); a distractor that matches the reciprocal in number still out-activates one that does not whenever item-level cues carry weight, the interference both weightings predict (distractor_interference). On the representational account after McElree and Oberauer, the noun phrases that c-command the retrieval site from within its clause sit in a privileged store. That store holds exactly the available antecedents (privileged_iff_available), so no distractor is accessed (not_privileged_second).

Implementation notes #

References #

The stimuli #

The embedded-clause structures of the stimuli, by the clause's second noun phrase. It is a possessor inside the subject in (5a), a possessor inside an adjunct noun phrase in (5b) and (10c), the complement of a postposition in (8b) and (10b), and an indirect object in (8a), (8c) and (10a).

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      A stimulus is the matrix subject over the embedded clause and the matrix verb.

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        The noun phrases of a stimulus are the matrix subject, the embedded subject, the embedded clause's second noun phrase, a distractor or an indirect object, and the reciprocal.

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          def BakayEtAl2026.instReprRole.repr :
          Role → ℕ → Std.Format
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            The position of a noun phrase in a stimulus.

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              Every noun phrase of a stimulus sits at a noun phrase of its tree.

              theorem BakayEtAl2026.path_injective (s : Structure) :
              Function.Injective s.path

              Distinct noun phrases of a stimulus sit at distinct positions.

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              The binding configuration on the noun phrases of a stimulus is its tree's clause configuration read at their positions.

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                A noun phrase is an available antecedent when the reciprocal, coindexed with it alone, meets Principle A.

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                  The embedded subject is available in every structure, and the second noun phrase exactly when it is an indirect object. The matrix subject lies outside the reciprocal's clause, and a distractor does not c-command the reciprocal.

                  Cue-based retrieval #

                  The noun phrase at p carries Kush's local feature at a retrieval site q when its mother is a clause or verb-phrase node sharing the minimal clause of q, so that it hangs from the spine of that clause.

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                    On every stimulus Kush's feature at the reciprocal holds of exactly the available antecedents.

                    A retrieval cue is matched against the hierarchical feature or against an item-level feature stored with the candidate.

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                        structure BakayEtAl2026.Cue (F : Type u_1) :
                        Type u_1

                        A retrieval cue is a feature a candidate should carry, tagged with where it is matched.

                        • source : CueSource

                          Where the cue is matched.

                        • feature : F

                          The feature the cue seeks.

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                          def BakayEtAl2026.matchCount {F : Type u_1} [DecidableEq F] (feats : List F) (cues : List (Cue F)) (s : CueSource) :
                          ℕ

                          matchCount feats cues s counts the cues matched at s that a candidate with the features feats matches.

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                            def BakayEtAl2026.weightedActivation {F : Type u_1} [DecidableEq F] (w : CueSource → ℕ) (feats : List F) (cues : List (Cue F)) :
                            ℕ

                            Activation is the count of matched cues, weighted by where they are matched.

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                              theorem BakayEtAl2026.matchCount_le {F : Type u_1} [DecidableEq F] {a b : List F} {cues : List (Cue F)} (h : ∀ c ∈ cues, c.feature ∈ b → c.feature ∈ a) (s : CueSource) :
                              matchCount b cues s ≤ matchCount a cues s

                              A candidate that matches whatever cue another matches matches at least as many cues at every source.

                              theorem BakayEtAl2026.weightedActivation_lt {F : Type u_1} [DecidableEq F] {w : CueSource → ℕ} {a b : List F} {cues : List (Cue F)} (hle : ∀ (s : CueSource), matchCount b cues s ≤ matchCount a cues s) (hlt : ∃ (s : CueSource), 0 < w s ∧ matchCount b cues s < matchCount a cues s) :

                              A candidate whose matches dominate another's at every source, strictly at a source with positive weight, out-activates it.

                              A noun phrase is stored with Kush's local feature, a clause-mate feature, its number and its case.

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                                def BakayEtAl2026.instDecidableEqFeature.decEq (x✝ x✝¹ : Feature) :
                                Decidable (x✝ = x✝¹)
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                                  def BakayEtAl2026.instReprFeature.repr :
                                  Feature → ℕ → Std.Format
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                                    def BakayEtAl2026.Role.features (s : Structure) (r : Role) (n : Number) (c : Case) :
                                    List Feature

                                    The features of the noun phrase r of s, of number n and case c. It carries the local feature when Kush's feature holds of it at the reciprocal, and the clause-mate feature when it shares the reciprocal's minimal clause.

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                                      Birbirleri cues the local feature, the clause-mate feature and the number of the fragment's reciprocal, which its antecedent shares.

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                                        The plural embedded subject out-activates a distractor of any number and case under any weighting that gives the hierarchical cue weight. The subject matches every cue, and the distractor lacks the local feature.

                                        A distractor that matches the reciprocal in number out-activates one that does not, under any weighting that gives item-level cues weight.

                                        The privileged representation #

                                        A noun phrase is in the privileged store at the reciprocal when it c-commands the reciprocal from within the reciprocal's clause.

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                                          The privileged store holds exactly Principle A's available antecedents.

                                          No distractor enters the privileged store.

                                          The paper's stimuli #

                                          The structure a row records, by its distractor or its second noun phrase.

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                                            def BakayEtAl2026.roles :
                                            List (String × Role)

                                            The noun phrases the rows' readings name.

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                                              theorem BakayEtAl2026.rows_parse (x : Datum) :
                                              x ∈ Examples.all → (structure? x).isSome = true ∧ ∀ y ∈ x.readings, (List.lookup y.1 roles).isSome = true

                                              Every row records its structure, and every reading names a noun phrase.

                                              theorem BakayEtAl2026.rows_available (x : Datum) :
                                              x ∈ Examples.all → ∀ s ∈ structure? x, ∀ y ∈ x.readings, ∀ r ∈ List.lookup y.1 roles, y.2 = Judgment.acceptable ↔ Role.Available s r

                                              Each row's coindexations are Principle A on its structure.