Title of dissertation: A PROGRAM FOR EXPERIMENTAL SYNTAX: FINDING THE RELATIONSHIP BETWEEN ACCEPTABILITY AND GRAMMATICAL KNOWLEDGE Jon Sprouse Doctor of Philosophy, 2007 Dissertation directed by: Professor Howard Lasnik Department of Linguistics There has always been interest in the methodology of acceptability judgment collection, as well as the reliability of the results. It seems, though, th...

The authors present the results of a 2-year longitudinal study of 90 British children beginning at school entry when they were 4 years 9 months old (range = 4 years 2 months to 5 years 2 months). The relationships among early phonological skills, letter knowledge, grammatical skills, and vocabulary knowledge were investigated as predictors of word recognition and reading comprehension. Word rec...

It has been known that people, after being exposed to sentences generated by an artificial grammar, acquire implicit grammatical knowledge and are able to transfer the knowledge to inputs that are generated by a modified grammar. We show that a second order recurrent neural network is able to transfer grammatical knowledge from one language (generated by a Finite State Machine) to another langu...

Theories of natural language syntax often characterize grammatical knowledge as a form of abstract computation. This paper argues that such a characterization is correct, and that fundamental properties of grammar can and should be understood in terms of restrictions on the complexity of possible grammatical computation, when defined in terms of generative capacity. More specifically, the paper...

Grammar teaching has been a topic of debate for considerably long time. Researchers and teachers discussed the benefits shortcomings its explicit instruction, which entails students’ awareness metalanguage. Although much research investigated metalanguage, effect on improving grammatical accuracy is still an unresolved issue, concerning it relatively limited. Nevertheless, widely recognised tha...

This paper proposes a knowledge-based approach to manage software warehouses. It is understood that knowledge acquisition is the bottleneck for intelligent systems of all kinds. Our research focuses on solutions for both theoretical and practical aspects of the bottleneck tasks through the proposed mechanisms of randomization, symbolic representation, and grammatical inference. Key-Words: Knowl...

The paper proposes justification of using Mersenne primes in the following cryptoschemes: commutative and publickey encryption algorithms and zero-knowledge protocol. The cryptoschemes are based on computational difficulty of finding discrete logarithm in the finite fields GF (2), where s is a sufficiently large prime such that 2s−1 is also a prime, for example s = 1279, s = 2203, and s = 4253.

Feature structures are partially speciied, record-like structures which are employed in many recent grammar formalisms to represent linguistic objects of various kinds. Building on previous approaches to the logical representation of linguistic knowledge, this paper presents a logical language which is suuciently expressive to allow for the encoding of recursive constraints on feature structure...

This paper introduces three types of Statistical Machine Translation (SMT) output errors that would require grammatical knowledge for prevention. The first type is due to words that are negative in meaning but not in form. Problems arise when the negative forms are obligatory in target languages. The second type of errors is derived from the rigidity of pattern phrases or correlatives which do ...