A matter of ambiguity? Using eye movements to examine collective vs. distributive interpretations of plural sets 1 Christine Boylan Dimka Atanassov Florian.

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Presentation transcript:

A matter of ambiguity? Using eye movements to examine collective vs. distributive interpretations of plural sets 1 Christine Boylan Dimka Atanassov Florian Schwarz John Trueswell

Outline How do listeners interpret plural subjects? Collectivity vs. Distributivity in formal semantics Previous work Current study Visual World Paradigm Results Ambiguity vs. Vagueness Discussion & future studies 2

Plural Subjects 3 John and Bill are carrying a box. (a) (b)

Plurality Link (1983): join-semilattice structures: Sue, John and Bill Sue BillJohn S&J S&B S&J&B Atoms J&B

Distributivity: Heim et al.(1991) 5 The distributive reading involves an implicit distributive operator, D [ D] carry-a-box entails: carry-a-box(J) & carry-a-box(B) D is like a covert “each”. Collective readings do not involve postulating D See also: Choe, Jae-Woong (1987), Link (1998, 1983), Fred Landman (2000) JohnBill J&B

Previous Psycholinguistics Work: Frazier et al. (1999) 6 Readers initially prefer the collective? John and Bill are carrying a box together across the street. John and Bill are carrying a box each across the street. Effect is relatively late Dependent measure (reading times) reflects processing cost, not representational commitments per se No differences Difficult! Easy.

Visual World Paradigm

8 and heard one of the following sentence types: ambiguous regionobject (counterbalanced for ball/box) (i) John and Bill each are carrying a red ball. “each” condition (ii) John and Billare carrying a red ball. “null” – dist. condition (iii) John and Billare carrying a red box. “null” – coll. condition (iv) John and Bill together are carrying a redbox. “together” condition Our Experiment + Subjects saw:

9 - Collective Advantage John and Bill each/together/ Ø are carrying a red b… (b)all/(b)ox Eye Movement Results: Preference for Collective Scene Distributive Collective ABC

10 Collective Preference per Time Region ns * Bonferroni-corrected significance level (α = 0.002) * * * * ns

Summary 11 Immediate preference for collective interpretation Compatible with the analyses in Heim et al. (1991): D operator  more complex representation Frazier et al. (1999): Distributive incurs processing costs

A matter of ambiguity, not vagueness 12 Immediate collective preference, even in the Ø condition, suggests the collective-vs.-distributive distinction is one of ambiguity as opposed to vagueness: ambiguity: the processor must assign collectivity or distributivity even in the absence of information determining this (before “ball” or “box”) subject fixates the representation it has committed to: in this case, there is a preference for the collective vagueness: processor can remain agnostic about collective/distributive status of the NP until it reaches “ball” or “box” looks to each scene would be equally frequent: in this case, the null hypothesis

More work to be done 13 In children, this is still an ambiguity (not vagueness), but the preference is for the distributive! (Syrett & Musolino, 2010) Preference for collective/distributive interacts with the type of predicate and its bias: John and Bill are lifting a piano. Collective bias John and Bill are wearing a hat. Distributive bias

14 vs. Our study used mainly neutral predicates, and included as many collective- as distributive-biased predicates, e.g. More work to be done John and Bill are wearing a raincoat. Distributive bias John and Bill are lifting a dresser. Collective bias

15 Our study used mainly neutral predicates, and included as many collective- as distributive-biased predicates, e.g. More work to be done However, a regression analysis using individual predicates’ collective/distributive bias scores might provide evidence for a lexical bias effect. Also, manipulating the relative frequencies of distributive and collective interpretations in general would allow us to examine how an ambiguity decision might be sensitive to corpus distributions.

Thank you!