Pickering and Barry (1991): Sentence Processing without Empty Categories #
This file formalizes [PB91]'s argument that the processing of an unbounded dependency associates the filler directly with its subcategoriser and never with an empty category. An analysis with empty categories makes two associations per dependency, filler to gap and gap to verb; the gap-free analysis makes one, filler to verb. Each association spans an interval of the sentence, a pattern of associations is nested when one association lies strictly inside another (abba) and disjoint when none overlap (aabb), and nested associations are the ones that must be held open while others are formed.
Under the analysis with empty categories neither pattern lines up with nested constructions in
Chomsky's sense or with the reported difficulty (Table 1): the multiple pied-piping sentence
(42) has nested filler–gap and nested gap–verb associations yet is as easy as the multiple
subject relative. Under the gap-free analysis the one pattern coincides with nestedness in Chomsky's
sense (Table 2) and with the reported difficulty (table1, table2, difficulty,
trace_prediction_fails), and it stays disjoint however far the pied-piping and the recursive
passive are extended, where the empty-category analysis holds every filler to the end of the
sentence (peripheralGaps_fillerVerb_disjoint, peripheralGaps_fillerGap_common). The
categorial grammar of the paper's later sections derives the embedded questions (82a–c) with no
empty category (der82a, der82b, der82c), and (82d) has no derivation in any rule system
because the pronoun must fill an argument role of the embedded verb, which is the count
invariant of van Benthem (no_der82d).
Implementation notes #
Associations are spans between word positions of the paper's annotated strings, empty
categories included; a nested construction in Chomsky's sense is the same relation on the
lexical spans of the relative clauses, which is where the paper's removal of "nonnull" from
the definition shows up. The paper's rule (80a), which combines a subject with a transitive verb
before its object, is the composition of the subject's raised category with the verb, so the
lexicon carries the raised entry, as in Syntax/CCG/Derivation. The semantic side of the
derivations and the discussion of incremental interpretation are not formalized.
References #
Associations and their patterns #
A dependency of an annotated sentence records the positions of its filler, of the empty category the trace analysis posits, and of its subcategoriser.
- filler : ℕ
- gap : ℕ
- verb : ℕ
Instances For
Equations
- One or more equations did not get rendered due to their size.
Instances For
Equations
- One or more equations did not get rendered due to their size.
Instances For
Equations
The span between two positions.
Equations
- PickeringBarry1991.span i j = { fst := min i j, snd := max i j, fst_le_snd := ⋯ }
Instances For
The filler–gap association of the trace analysis.
Equations
- d.fillerGap = PickeringBarry1991.span d.filler d.gap
Instances For
The gap–verb association of the trace analysis.
Equations
- d.gapVerb = PickeringBarry1991.span d.gap d.verb
Instances For
The filler–verb association of the gap-free analysis.
Equations
- d.fillerVerb = PickeringBarry1991.span d.filler d.verb
Instances For
The filler–verb association does not depend on where an empty category would sit, so heavy shift, extraposition and word-order freedom relocate the gap and leave it unchanged.
A pattern of associations is nested when one association lies strictly inside another.
Equations
- PickeringBarry1991.Nested L = ∃ a ∈ L, ∃ b ∈ L, a.During b
Instances For
A pattern of associations is disjoint when any two of them are one before the other.
Equations
- PickeringBarry1991.Disjoint L = ∀ a ∈ L, ∀ b ∈ L, a ≠ b → a.Precedes b ∨ b.Precedes a
Instances For
A disjoint pattern is not nested.
An annotated sentence records its dependencies and the spans of its relative clauses over the lexical positions.
- deps : List Dependency
- clauses : List (NonemptyInterval ℕ)
Instances For
The filler–gap associations.
Equations
- A.fillerGap = List.map PickeringBarry1991.Dependency.fillerGap A.deps
Instances For
The gap–verb associations.
Equations
- A.gapVerb = List.map PickeringBarry1991.Dependency.gapVerb A.deps
Instances For
The filler–verb associations.
Equations
- A.fillerVerb = List.map PickeringBarry1991.Dependency.fillerVerb A.deps
Instances For
A construction is nested in Chomsky's sense when a clause lies inside another with lexical material on both sides of it.
Equations
Instances For
The four sentence types (Tables 1 and 2) #
The multiple subject relative (44), I saw the farmer [who]ₐ Ø [owned]ₐ the dog [which]ᵦ Ø [chased]ᵦ the cat, annotated as (46) and (56).
Equations
- One or more equations did not get rendered due to their size.
Instances For
The multiple object relative (45), The cat [which]ₐ the dog [which]ᵦ the farmer [owned]ᵦ Ø [chased]ₐ Ø fled, annotated as (47) and (57).
Equations
- One or more equations did not get rendered due to their size.
Instances For
The German multiple subject relative (48), Der Bauer [der]ₐ Ø das Mädchen [das]ᵦ Ø den Jungen [küßte]ᵦ [schlug]ₐ ging, annotated as (49) and (58).
Equations
- One or more equations did not get rendered due to their size.
Instances For
The multiple pied-piping sentence (42), John found the saucer [on which]ₐ Mary [put]ₐ the cup [into which]ᵦ I [poured]ᵦ the tea Ø Ø, annotated as (50) and (59).
Equations
- One or more equations did not get rendered due to their size.
Instances For
The four sentence types of Tables 1 and 2.
Equations
Instances For
With empty categories, neither the filler–gap pattern nor the gap–verb pattern tracks the construction type (Table 1).
Without empty categories, the filler–verb pattern is nested exactly in the nested constructions (Table 2).
The four sentence types with their analyses.
Equations
- One or more equations did not get rendered due to their size.
Instances For
The paper reports the sentence hard to process. Its examples are grammatical and printed unmarked, so difficulty is a separate observation from the judgment.
Equations
- PickeringBarry1991.Hard e = (e.feature? "difficulty" = some "hard")
Instances For
Processing difficulty is nesting of the filler–verb associations: the sentences that are hard to process are exactly those whose gap-free pattern is nested.
The trace analysis predicts difficulty for the multiple pied-piping sentence, whose filler–gap and gap–verb associations are both nested, yet it is easy.
Under pied piping (15) the filler associates with the verb, and under preposition stranding (16) with the stranded preposition at the end, a longer association for a harder sentence.
Extending the constructions #
The constructions whose n relative clauses each place a filler and, two words later, its
verb, while the trace analysis sites all n gaps at the end of the sentence: multiple pied
piping from position 4, (42), (54), (55), and the recursive passive from position 0, (93)–(95).
Equations
- PickeringBarry1991.peripheralGaps a n = List.map (fun (k : ℕ) => { filler := a + 5 * k, gap := a + 5 * n + (n - 1 - k), verb := a + 5 * k + 2 }) (List.range n)
Instances For
The multiple subject relative with n clauses, (44), (51), each of which places a filler,
its gap and its verb in succession.
Equations
- PickeringBarry1991.localGaps n = List.map (fun (k : ℕ) => { filler := 4 + 5 * k, gap := 5 + 5 * k, verb := 6 + 5 * k }) (List.range n)
Instances For
The multiple object relative with n clauses, (45), (52), which places the fillers in
succession and then the verbs in reverse order, each followed by its gap.
Equations
- PickeringBarry1991.centreEmbedded n = List.map (fun (k : ℕ) => { filler := 2 + 3 * k, gap := 2 + 3 * n + 2 * (n - 1 - k) + 1, verb := 2 + 3 * n + 2 * (n - 1 - k) }) (List.range n)
Instances For
The German multiple subject relative with n clauses, (48), (53), which places each filler
before its gap and then the verbs in reverse order.
Equations
- PickeringBarry1991.verbFinal n = List.map (fun (k : ℕ) => { filler := 2 + 4 * k, gap := 3 + 4 * k, verb := 2 + 4 * n + (n - 1 - k) }) (List.range n)
Instances For
Without empty categories, extending the pied-piping or the passive construction keeps the pattern disjoint, so there is never an unfinished association to remember.
With empty categories, every filler of the extended construction is held until the first
gap, the position a + 5n common to all n filler–gap associations.
With empty categories, the extended construction's filler–gap and gap–verb associations are nested as soon as there are two clauses.
The multiple subject relative stays disjoint on every analysis, however far it is extended.
In the multiple object relative every filler is held until the innermost verb, on either analysis: the associations are nested and difficulty grows with every clause.
In the German multiple subject relative every filler is held until the innermost verb; the trace analysis puts the nesting in the gap–verb associations instead, its filler–gap associations staying disjoint.
Unbounded dependencies in categorial grammar #
Equations
- PickeringBarry1991.instDecidableEqBasic x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
Equations
- One or more equations did not get rendered due to their size.
Instances For
Equations
- PickeringBarry1991.instReprBasic = { reprPrec := PickeringBarry1991.instReprBasic.repr }
The sentence category.
Instances For
The embedded-question category.
Instances For
The noun-phrase category.
Instances For
The prepositional-phrase category.
Instances For
The lexicon of (82)–(85). The subject pronoun who takes a sentence missing its subject, the object pronoun whom a sentence missing an object, and John carries the raised category through which rule (80a) combines it with a verb before the verb's object.
Equations
- One or more equations did not get rendered due to their size.
Instances For
The derivation (83) of who saw Mary, in which the subject pronoun applies to a sentence missing its subject.
Equations
- One or more equations did not get rendered due to their size.
Instances For
The derivation (84) of whom John saw, in which the raised subject composes with the verb into a sentence missing its object, which the object pronoun takes.
Equations
- One or more equations did not get rendered due to their size.
Instances For
The derivation (85) of whom John talked to, in which two compositions leave the preposition's object missing.
Equations
- One or more equations did not get rendered due to their size.
Instances For
Sue wonders applied to an embedded question.
Equations
- One or more equations did not get rendered due to their size.
Instances For
(82a).
Instances For
(82b).
Instances For
(82c).
Instances For
The embedded questions (82a–c) are derived from the lexicon, with no empty category.
The noun phrases each word of the fragment contributes to the count invariant. A verb consumes its arguments and a pronoun supplies the one it fills.
Equations
- PickeringBarry1991.npCount "saw" = -2
- PickeringBarry1991.npCount "talked" = -1
- PickeringBarry1991.npCount "to" = -1
- PickeringBarry1991.npCount "wonders" = -1
- PickeringBarry1991.npCount x✝ = 1
Instances For
Sue wonders who John saw Mary (82d) has no derivation, with who or with whom, in any rule system, because the pronoun supplies a noun phrase no verb consumes.