Past Tense is a strong grammatical category. It  realized by four aspect-tense forms: Simple Past, Continuous, Perfect and Continuous. The following temporal-aspect variants of the past tense are discussed in article: Separate Action, Correlative Iterative Prospective, Exclusive Inclusive. compositional stylistic functions their characteristics also article. verbal forms defined according ...

A technique for studying the relationship between brain and language, which involves correlating scores on two continuous variables, signal intensity across the entire brains of brain-damaged patients and behavioral priming scores, was used to investigate a central issue in cognitive neuroscience: Are the components of the neural language system organized as a single undifferentiated process, o...

Two cognitive models of inflectional morphology are widely debated in the literature—the Words and Rules model, whereby irregular forms are stored in the lexicon but regular forms are created by rule, and Single Mechanism models, whereby both regulars and irregulars form an associative network, with no rules. A newer model, the Computational Grammatical Complexity (CGC) model, recognises the co...

Sandro Zucchi Dipartimento di Scienze della Comunicazione Università di Salerno One difference between the Italian Sign Language sentences in (1)-(3) below and their English translations is that, while the English predicates are inflected for tense, the sign for the verb in Italian Sign Language (LIS) appears in its citational form: (1) GIANNI HOUSE BUY “Gianni is buying a house” (2) TIME-AGO G...

Learning the English past tense is characterized by a U-shaped learning function for the irregular verbs. Existing cognitive models rely on a sudden increases in vocabulary, a high token-frequency of regular verbs, and convoluted schemes of feedback in order to model this phenomenon. All these assumptions are at odds with empirical data. In this paper a hybrid ACT-R model is presented that show...

Previous studies suggest that different neural and functional mechanisms are involved in the analysis of irregular (caught) and regular (filled) past tense forms in English. In particular, the comprehension and production of regular forms is argued to require processes of morpho-phonological assembly and disassembly, analysing these forms into a stem plus an inflectional affix (e.g., {fill}+{-e...

Learning the English past tense is characterized by a U-shaped learning function for the irregular verbs. Existing cognitive models often rely on a sudden increase in vocabulary, a high tokenfrequency of regular verbs, and complicated schemes of feedback in order to model this phenomenon. All these assumptions are at odds with empirical data. In this paper a hybrid ACT-R model is presented that...