Online research in philosophy

I reject Jackendoff's view of Universal Grammar as something that evolved biologically but applaud his integration of blackboard architectures. I thus recall the HEARSAY speech understanding system—the AI system that introduced the concept of “blackboard”—to provide another perspective on Jackendoff's architecture.

Jackendoff's Foundations of Language: Brain, Meaning, Grammar, Evolution (2002) achieves a major shift in the focus and methods of Generative Linguistics (GL). Yet some of the original restrictive features of GL, cognitivism and Cartesianism in particular, remain intact in the new work and take on a more extreme form with the addition of a phenomenalist ontology.

Taking as its starting point significant similarities between a formal language model—Grammar Systems—and a grammatical theory—Autolexical Syntax—in this paper we suggest the application of the former to the topic of the latter. To show the applicability of Grammar Systems Theory to grammatical description, we introduce a formal-language-theoretic framework for the architecture of natural language grammar: Linguistic Grammar Systems. We prove the adequacy of this model by highlighting its features (modularity, parallelism, interaction) and by showing the similarity between this framework and accepted and well-known grammatical models (e.g. Autolexical Syntax).

In addition to providing an account of the empirical facts of language, a theory that aspires to account for language as a biologically based human faculty should seek a graceful integration of linguistic phenomena with what is known about other human cognitive capacities and about the character of brain computation. The present article compares the theoretical stance of biolinguistics (Chomsky 2005, Di Sciullo and Boeckx 2011) with a constraint-based Parallel Architecture approach to the language faculty (Jackendoff 2002, Culicover and Jackendoff 2005). The issues considered include the necessity of redundancy in the lexicon and the rule system, the ubiquity of recursion in cognition, derivational vs. constraint-based formalisms, the relation between lexical items and grammatical rules, the roles of phonology and semantics in the grammar, the combinatorial character of thought in humans and nonhumans, the interfaces between language, thought, and vision, and the possible course of evolution of the language faculty. In each of these areas, the Parallel Architecture offers a superior account both of linguistic facts and of the relation of language to the rest of the mind/brain.

Chapter one Introduction The lexicon has come to play an increasingly important role in generative grammar. The first widely read monograph on generative ...

In this paper we discuss a new perspective on the syntax-semantics interface. Semantics, in this new set-up, is not ‘read off’ from Logical Forms as in mainstream approaches to generative grammar. Nor is it assigned to syntactic proofs using a Curry-Howard correspondence as in versions of the Lambek Calculus, or read off from f-structures using Linear Logic as in Lexical-Functional Grammar (LFG, Kaplan & Bresnan [9]). All such approaches are based on the idea that syntactic objects (trees, proofs, fstructures) are somehow prior and that semantics must be parasitic on those syntactic objects. We challenge this idea and develop a grammar in which syntax and semantics are treated in a strictly parallel fashion. The grammar will have many ideas in common with the (converging) frameworks of categorial grammar and LFG, but its treatment of the syntax-semantics interface is radically different. Also, although the meaning component of the grammar is a version of Montague semantics and although there are obvious affinities between Montague’s conception of grammar and the work presented here, the grammar is not compositional, in the sense that composition of meaning need not follow surface structure.

Jackendoff's Foundations of Language: Brain, Meaning, Grammar, Evolution attempts to reconnect generative linguistics to the rest of cognitive science. However, by minimally acknowledging decades of work in cognitive linguistics, treating dynamical systems approaches somewhat dismissively, and clinging to certain fundamental dogma while revising others, he clearly risks satisfying no one by almost pleasing everyone.

Jackendoff claims that current theories of generative grammar commit a “scientific mistake” by assuming that syntax is the sole source of linguistic organization (“syntactocentrism”). The claim is false, and furthermore, Jackendoff's solution to the alleged problem, the parallel architecture, creates a real problem that exists in no other theory of generative grammar.

Article history: This article sketches the Parallel Architecture, an approach to the structure of grammar that Accepted 29 August 2006 contrasts with mainstream generative grammar (MGG) in that (a) it treats phonology, Available online 13 October 2006 syntax, and semantics as independent generative components whose structures are linked by interface rules; (b) it uses a parallel constraint-based formalism that is nondirectional; (c) Keywords: it treats words and rules alike as pieces of linguistic structure stored in long-term memory.

One of the major arenas for debate within generative grammar is the nature of paradigmatic relations among words. Intervening in key debates at the interface between syntax and semantics, this book examines the relation between structure and meaning, and analyses how it affects the internal properties of words and corresponding syntactic manifestations. Adapting notions from the Evo-Devo project in biology (the idea of 'co-linearity' between structural units and behavioural manifestations) Juan Uriagereka addresses a major puzzle: how words can be both decomposable so as to be acquired by children, and atomic, so that they do not manifest themselves as modular to adults.