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  1. How does the faculty of language relate to rules, axioms, and constraints?Prakash Mondal - 2013 - Pragmatics and Cognition 21 (2):270-303.
    This paper explores the link between rules of grammar, grammar formalisms and the architecture of the language faculty. In doing so, it provides a flexible meta-level theory of the language faculty through the postulation of general axioms that govern the interaction of different components of grammar. The idea is simply that such an abstract formulation allows us to view the structure of the language faculty independently of specific theoretical frameworks/formalisms. It turns out that the system of rules, axioms and constraints (...)
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  • How linguistic meaning harmonizes with information through meaning conservation.Prakash Mondal - 2019 - Pragmatics and Cognition 26 (2-3):296-320.
    This paper aims to characterize the relationship between information as defined in the information-theoretic approach and linguistic meaning by way of formulation of computations over the lexicon of a natural language. Information in its information theoretic sense is supposed not to be equivalent to linguistic meaning, whereas linguistic meaning has an intrinsic connection to information as far as the form and structure of the lexicon of a language (in a non-lexicological sense) is concerned. We argue that these two apparently conflicting (...)
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  • Long-Distance Paradox and the Hybrid Nature of Language.Guillermo Lorenzo - 2018 - Biosemiotics 11 (3):387-404.
    Non-adjacent or long-distance dependencies (LDDs) are routinely considered to be a distinctive trait of language, which purportedly locates it higher than other sequentially organized signal systems in terms of structural complexity. This paper argues that particular languages display specific resources (e.g. non-interpretive morphological agreement paradigms) that help the brain system responsible for dealing with LDDs to develop the capacity of acquiring and processing expressions with such a human-typical degree of computational complexity. Independently obtained naturalistic data is discussed and put to (...)
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