An understanding of learning { the process by which a learner acquires and re nes a broad range of knowledge and skills { is central to the enterprise of building truly adaptive, exible, robust, and creative intelligent systems. Signi cant theoretical and empirical contributions to the characterization of learning in computational terms have emerged from research in a number of disparate resear...

We implemented a syntactic and semantic tagging system for SemEval 2015 Task 15: Corpus Pattern Analysis. For syntactic tagging, we present a Dependency Chain Search Algorithm that is found to be effective at identifying structurally distant subjects and objects. Other syntactic labels are identified using rules defined over dependency parse structures and the output of a verb classification mo...

Work in experimental psycholinguistics has shown that the processing of coordinate structures is facilitated when the two conjuncts share the same syntactic structure (Frazier, Munn, & Clifton, 2000). In the present paper, we argue that this parallelism effect is a specific case of the more general phenomenon of syntactic priming—the tendency to repeat recently used syntactic structures. We sho...

Although disfluencies such as uh are generally not treated as linguistic items, our results suggest that they can affect syntactic parsing. Using a grammaticality judgment task, we demonstrate that disfluencies are able to affect the syntactic parse of a sentence in two ways. First, disfluencies can make syntactic reanalysis more difficult by coming between an ambiguous constituent and a disamb...

Within a formal framework, where each object is characterized by a set of predicates as a binary sequence of 0 and 1, a nominal level of measurement is discussed. The nominal scale is reinterpreted as a set of predicates, and nominal measurement as an assignment of binary sequences to the objects. One remarkable character of this formalization is a reciprocal relationship between the objects an...

In this paper we present a foundational basis for optimal and information theoretic syntactic pattern recognition. We do this by developing a rigorous model, M*, for channels which permit arbitrarily distributed substitution, deletion and insertion syntactic errors. More explicitly, if A is any finite alphabet and A* the set of words over A, we specify a stochastically consistent scheme by whic...

1 An understanding of learning { the process by which a learner acquires and reenes a broad range of knowledge and skills { is central to the enterprise of building truly adaptive, exible, robust, and creative intelligent systems. Signiicant theoretical and empirical contributions to the characterization of learning in computational terms have emerged from research in a number of disparate rese...

In the present study, event-related brain potentials (ERPs) were used to compare auditory sentence comprehension in 16 children with developmental dyslexia (age 9-12 years) and unimpaired controls matched on age, sex, and nonverbal intelligence. Passive sentences were presented, which were either correct or contained a syntactic violation (phrase structure) or a semantic violation (selectional ...

Picture languages generated by array grammars or accepted by array automata have been studied by researchers and various models have been proposed in the literature, motivated by problems arising in the framework of syntactic methods of pattern recognition and image processing. The notion of Pure 2D Picture Grammars, generating rectangular picture arrays of symbols is already there in the liter...

Decision trees have been widely used for different tasks in artificial intelligence and data mining. Tree automata have been used in pattern recognition tasks to represent some features of objects to be classified. Here we propose a method that combines both approaches to solve a classical problem in pattern recognition such as Optical Character Recognition. We propose a method which is organiz...