David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Linguistics and Philosophy 33 (3):215-250 (2010)
We study the computational complexity of polyadic quantifiers in natural language. This type of quantification is widely used in formal semantics to model the meaning of multi-quantifier sentences. First, we show that the standard constructions that turn simple determiners into complex quantifiers, namely Boolean operations, iteration, cumulation, and resumption, are tractable. Then, we provide an insight into branching operation yielding intractable natural language multi-quantifier expressions. Next, we focus on a linguistic case study. We use computational complexity results to investigate semantic distinctions between quantified reciprocal sentences. We show a computational dichotomy<br>between different readings of reciprocity. Finally, we go more into philosophical speculation on meaning, ambiguity and computational complexity. In particular, we investigate a possibility to<br>revise the Strong Meaning Hypothesis with complexity aspects to better account for meaning shifts in the domain of multi-quantifier sentences. The paper not only contributes to the field of the formal<br>semantics but also illustrates how the tools of computational complexity theory might be successfully used in linguistics and philosophy with an eye towards cognitive science.
|Keywords||generalized quantifiers computational complexity theory polyadic quantification multi quantifier sentences Stron Meaning Hypothesis|
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References found in this work BETA
Kent Bach (1982). Semantic Nonspecificity and Mixed Quantifiers. Linguistics and Philosophy 4 (4):593 - 605.
Jon Barwise & Robin Cooper (1981). Generalized Quantifiers and Natural Language. Linguistics and Philosophy 4 (2):159--219.
Sigrid Beck (2000). The Semantics of Different: Comparison Operator and Relational Adjective. [REVIEW] Linguistics and Philosophy 23 (2):101-139.
Gilad Ben-Avi & Yoad Winter (2003). Monotonicity and Collective Quantification. Journal of Logic, Language and Information 12 (2):127-151.
A. Blass & Y. Gurevich (1986). Henkin Quantifiers and Complete Problems. Annals of Pure and Applied Logic 32:1--16.
Citations of this work BETA
Sivan Sabato & Yoad Winter (2012). Relational Domains and the Interpretation of Reciprocals. Linguistics and Philosophy 35 (3):191-241.
Cédric Dégremont, Lena Kurzen & Jakub Szymanik (2012). Exploring the Tractability Border in Epistemic Tasks. Synthese (3):1-38.
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