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The artificial grammar learning paradigm is a classic method of investigating the influence of universal constraints on shaping learning biases on language acquisition. While this method has been used extensively by linguists to test theoretical claims in generative grammar, one of the most prevalent frameworks in language acquisition, several studies have questioned whether artificial grammar learning reflects language acquisition enough to allow us to use it to draw inferences about the validity of universal constraints, particularly those arising from phonetic naturalness. The current study tests whether artificial grammar learning shows the effect of one robust phonetic naturalness constraint: the restriction on nasal harmony patterns arising from the sonority hierarchy. Nasal harmony is of particular interest because it is one of the few types of harmony that occurs between consonants and vowels, which is an under-researched topic. The results, contrary to the skeptical concerns, showed that participants (n = 120) could learn an artificial grammar involving a natural pattern, but could not learn one corresponding to an arbitrary/phonetically unmotivated pattern in the same way or to the same degree. This study contributes epistemic support to the large body of work using artificial grammar experiments to test phonological operations. [ABSTRACT FROM AUTHOR]

The goal of this note is to offer a critical review of the contrastive analysis hypothesis within the field of second language acquisition. The notions of interlanguage, universal grammar and mental grammar are discussed. Transfer is redefined as the output of underlying rules in the grammar of a second language. Through Jackendoff’s notion of a mental grammar we reconcile the contribution of structural and generative grammar to the understanding of the phenomenon of transfer. [ABSTRACT FROM AUTHOR]

This paper provides a general summary of some of the current issues in the field of Generative Grammar, the study of the human Faculty of Language. We review some key ideas this approach to language has put forward and pursued, focusing on the basic properties of language and its interactions with other systems. We also point at some of the possibilities that a biological approach to language offers to build bridges between Linguistics and other scientific disciplines. Throughout the paper we take into consideration the advantages that incorporating some of these ideas would have in Secondary Education, -not only for the potentially intrinsic value of linguistic knowledge, but also for the impact of this approach on more general skills like observing, describing and comparing data, reasoning, providing arguments and counterarguments, formulating generalizations, analyzing, summarizing or inferring. [ABSTRACT FROM AUTHOR]

A fundamental problem in spoken language is the duality between the continuous aspects of phonetic performance and the discrete aspects of phonological competence. We study 2 instances of this problem from the phenomenon of voicing neutralization and vowel harmony. In each case, we present a model where the experimentally observed continuous distinctions are linked to the discreteness of phonological form using the mathematics of nonlinear dynamics. [ABSTRACT FROM AUTHOR]

This study investigates how the parser employs thematic and contextual information in resolving temporary ambiguities during sentence processing. We report results from a sentence-completion task and from a self-paced reading experiment with native speakers of Greek examining two constructions under different referential context conditions: relative clauses (RCs) preceded by complex noun phrases with genitives, [NP1 +NP2Gen], and RCs preceded by complex noun phrases containing prepositional phrases, [NP1 + PP[P NP2]]. We found different attachment preferences for these two constructions, a high (NP1) preference for RCs with genitive antecedents and a low (NP2) preference for RCs with PP antecedents. Moreover, referential context information was found to modulate RC attachment differently in the two experimental tasks. We interpret these findings from the perspective of modular theories of sentence processing and argue that on-line ambiguity resolution relies primarily on grammatical and lexical-thematic information, and makes use of referential context information only as a secondary resource. [ABSTRACT FROM AUTHOR]

In this article the author presents his comments to critiques about the article "Grammar is grammar and usage is usage." Critiques recognizes that one possible objection to stochastic grammar is by mixing data from different individuals together in a large data set, evidence relevant to the investigation of the mental grammar of particular individuals is potentially obscured. But he then dismisses the importance of the objection. Critiques goes on to argue, that stochastic grammar is supported by the fact that phenomena that are categorial in some languages are simply a matter of statistical preference in others. So, the person of the subject argument cannot be lower than the person of a no subject argument. A consequence is that one never finds first or second person subjects of passives in that language where the agent is in the third person. In English, as it turns out, similar passives are possible, but very rare compared to passives with, say, third person subjects. As they note, a traditional generative model would ascribe the Lummi facts to competence and the English facts to performance. They see this as a lost generalization. In their view, only a model of grammar allowing stochastic constraints can unite the facts in the two languages, assigning them two different points along the same continuum with respect to relations involving grammatical person.