Documentation

Linglib.Phenomena.FillerGap.Studies.PickeringBarry1991

Pickering & Barry (1991) #

@cite{pickering-barry-1991}

Sentence Processing without Empty Categories. Language and Cognitive Processes, 6(3), 229–259.

Core Thesis #

Processing of unbounded dependencies does not involve empty categories (traces). Fillers associate directly with their subcategorizing verbs — filler-verb association — without intermediary gap sites. Processing difficulty is determined by the nesting pattern of filler-verb associations:

This single distinction correctly predicts processing difficulty across four sentence types (Table 2), where the trace-based account (requiring separate filler-gap and gap-verb association patterns) makes incorrect predictions for multiple pied-piping constructions.

Connection to CCG #

The gap-free account is made possible by CCG's forward composition (the B combinator), which allows partial constituents like S/NP for "John saw" without positing a gap after "saw." In the derivation of "Sue wonders whom John saw" (ex 84):

No empty category is needed because composition creates the filler-verb association directly. This is the subject_verb_composition theorem in CCG.Combinators.

Sections #

Nesting pattern of associations in a sentence.

Two concurrent associations can be nested (abba: the second pair is enclosed within the first) or disjoint (aabb: each pair completed before the next begins).

This is the central formal object of @cite{pickering-barry-1991}.

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      Under the gap-free account, there is only one type of association: filler-verb. Under the trace account, there are two: filler-gap and gap-verb.

      The trace account must classify both patterns independently, while the gap-free account needs only one.

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          The four sentence types classified in Tables 1 and 2 (p. 242, 246).

          Each involves multiple extractions and exhibits characteristic processing difficulty that discriminates between the two analyses.

          • engMultiSubjRel : SentenceType

            "I saw the farmer who owned the dog which chased the cat." (ex 44) Subject extracted from each relative clause.

          • engMultiObjRel : SentenceType

            "The cat which the dog which the farmer owned chased fled." (ex 45) Object extracted from each relative clause (center-embedded).

          • gerMultiSubjRel : SentenceType

            "Der Bauer der das Mädchen das den Jungen küßte schlug ging." (ex 48) German: subject extracted, verb-final order creates nesting.

          • engMultiPiedPiping : SentenceType

            "John found the saucer on which Mary put the cup into which I poured the tea." (ex 42) Pied-piped PPs, successive relatives.

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              Observed processing difficulty.

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                  Empirical processing difficulty for each sentence type.

                  Subject relatives and pied-piping are easy to extend with further relative clauses (exx 51, 54–55); object relatives and German subject relatives become rapidly incomprehensible (exx 52–53).

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                    Filler-verb association pattern under the gap-free analysis (Table 2).

                    This is the ONLY association type needed. The annotation scheme from p. 245:

                    • Subject relative (ex 56): [who]₁ [owned]₁ ... [which]₂ [chased]₂ → disjoint (1122)
                    • Object relative (ex 57): [which]₁ ... [which]₂ [owned]₂ [chased]₁ → nested (1221)
                    • German subj rel (ex 58): [der]₁ [das]₂ [küßte]₂ [schlug]₁ → nested (1221)
                    • Pied-piping (ex 59): [on which]₁ [put]₁ [into which]₂ [poured]₂ → disjoint (1122)
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                      Table 2 correspondence (p. 246): under the gap-free analysis, the filler-verb pattern directly determines construction nestedness.

                      Table 1 (trace-based) has three independent columns (filler-gap pattern, gap-verb pattern, construction type) with no systematic relationship. Table 2 collapses to two identical columns.

                      Gap-free processing prediction: nested filler-verb associations are hard, disjoint are easy.

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                        The gap-free analysis correctly predicts all four observations.

                        Filler-gap pattern under the trace-based analysis (Table 1).

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                          Gap-verb pattern under the trace-based analysis (Table 1).

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                            Trace-based prediction: a construction is hard if EITHER filler-gap or gap-verb associations are nested.

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                              The trace-based analysis incorrectly predicts pied-piping is hard. It has nested filler-gap AND nested gap-verb (Table 1), yet the construction is easy to process and easily extensible (exx 54–55).

                              The gap-free analysis correctly predicts pied-piping is easy — the critical case where it outperforms the trace-based account.

                              Table 1 has no systematic relationship between its three columns. The filler-gap pattern, gap-verb pattern, and construction type are all independent. German subject relatives are nested constructions with disjoint filler-gap associations — the columns disagree.

                              Bridge to ProcessingProfile #

                              Map nesting pattern to ProcessingProfile.

                              Nested associations require holding unfinished fillers in working memory while forming inner associations — higher locality (longer dependency span) and referential load (more intervening material to track).

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                                Processing ordering predictions verified via Pareto dominance.

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                                  Bridge to CrossSerial dependencies #

                                  German verb-final order produces nested filler-verb associations, consistent with the nested dependency pattern in German verb clusters (CrossSerial.german_3np_3v). Both German constructions — subject relatives and verb clusters — exhibit nesting because the verb that closes each dependency comes in reverse order.

                                  @cite{bach-brown-marslen-wilson-1986} confirms the processing prediction: German nested constructions are hard, like their Dutch cross-serial counterparts (though for different structural reasons).

                                  Bridge to CCG combinators #

                                  The gap-free account requires a grammar that can establish filler-verb associations without positing gap positions. CCG achieves this via forward composition (B) and type-raising (T):

                                  subject_verb_composition in CCG.Combinators proves: B (T subj) verb obj = verb obj subj

                                  This is exactly derivation (84) in the paper: "John saw" becomes a constituent S/NP via rule (80a) (type-raising + composition), and "whom" : Q/(S/NP) combines with S/NP to form Q — no trace needed. The variable-free semantics (ccgVariableFree in CCG.Combinators) guarantees that all semantic operations use combinators rather than bound variables, which is the formal counterpart of "no empty categories."