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Brian Buccola

Researcher at Michigan State University

Publications -  20
Citations -  165

Brian Buccola is an academic researcher from Michigan State University. The author has contributed to research in topics: Computer science & Ignorance. The author has an hindex of 7, co-authored 16 publications receiving 92 citations. Previous affiliations of Brian Buccola include McGill University & Centre national de la recherche scientifique.

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Book ChapterDOI

On the Expressivity of Optimality Theory versus Ordered Rewrite Rules

TL;DR: The intention is to capture formally the widespread intuition that certain opaque patterns, which are expressible by ordered rewrite rules, are problematic for classic, or traditional, OT.
Journal ArticleDOI

Connecting Content and Logical Words

TL;DR: This work explores a formulation of connectedness which is applicable to content and logical words alike, and which compares well with the classic notion of monotonicity for quantifiers.
Journal ArticleDOI

Modified numerals and maximality

TL;DR: The authors argue that modified numerals seem to mean different things depending on whether they combine with distributive or non-distributive predicates, and suggest the need for a pragmatic blocking mechanism that filters out readings (logical forms) of sentences that are generated by the grammar but intuitively unavailable.
Journal ArticleDOI

Obligatory Irrelevance and the Computation of Ignorance Inferences

TL;DR: It is argued that obligatory irrelevance provides the key to understanding the contrast in ignorance inferences exhibited by at least vs. more than, and translating the proposal into neo-Gricean terms, if at all possible, would yield a conceptually less appealing and empirically less adequate theory.
Journal ArticleDOI

Two types of class B numeral modifiers: A reply to Nouwen 2010

TL;DR: It is shown that Nouwen's semantics cannot be right for “at most”, and an amendment intended to accomodate certain observations not captured in Nouwen’s original account is proposed.