La contingence des faits linguistiques:réflexions sur la variation et le changement

This paper is a reflection on the role of contingent facts for the general understanding of language. Such facts are illustrated by the lacks of proportionality in the paradigm of French indefinites and the irregular correlations between the Null Subject Parameter and other hypothesised parameters. Such contingencies clearly go against the expectation raised by at least some versions of structuralism and the current chomskyan Minimalist Program. As demonstrated by alternative views being developed in various natural and social sciences, and as shown by recent research on formulaic language, contingency may be understood as the result of the expedient character of a medium geared towards action. A view of language as action may thus offer a perspective able to account both for the general default rules shaping a grammar and for the contingencies that entrench them in use, as both are integral and complementary aspects of language.

What nominal phrases are all about: the atypical case of indefinite pronouns with a determiner

This paper presents novel data that challenge the traditional categorial understanding of the nominal phrase. The established use of an indefinite pronoun with a determiner in French (ce quelqu'un, du n'importe quoi, un je ne sais quoi) contravenes assumptions both about pronouns, which should not be embedded, and nominal phrases, which should be headed by a noun. Analysed here for the first time, the embedding of a pronoun under a determiner is shown to find its justification in the semantic import of the construction. The anaphoric role guaranteeing referential continuity is promoted by a strong determiner; weak determiners typically contribute to constructing a designative use of the pronoun when a more precise characterisation cannot or will not be provided. How this construction would be analysed in the Minimalist Programme is presented to suggest that the phrase satisfies semantic requirements, which resolves the paradoxes of its traditional definition

Dynamics of spatial heterogeneity in a landfill with interacting phase densities:a stochastic analysis

A landfill represents a complex and dynamically evolving structure that can be stochastically perturbed by exogenous factors. Both thermodynamic (equilibrium) and time varying (non-steady state) properties of a landfill are affected by spatially heterogenous and nonlinear subprocesses that combine with constraining initial and boundary conditions arising from the associated surroundings. While multiple approaches have been made to model landfill statistics by incorporating spatially dependent parameters on the one hand (data based approach) and continuum dynamical mass-balance equations on the other (equation based modelling), practically no attempt has been made to amalgamate these two approaches while also incorporating inherent stochastically induced fluctuations affecting the process overall. In this article, we will implement a minimalist scheme of modelling the time evolution of a realistic three dimensional landfill through a reaction-diffusion based approach, focusing on the coupled interactions of four key variables - solid mass density, hydrolysed mass density, acetogenic mass density and methanogenic mass density, that themselves are stochastically affected by fluctuations, coupled with diffusive relaxation of the individual densities, in ambient surroundings. Our results indicate that close to the linearly stable limit, the large time steady state properties, arising out of a series of complex coupled interactions between the stochastically driven variables, are scarcely affected by the biochemical growth-decay statistics. Our results clearly show that an equilibrium landfill structure is primarily determined by the solid and hydrolysed mass densities only rendering the other variables as statistically "irrelevant" in this (large time) asymptotic limit. The other major implication of incorporation of stochasticity in the landfill evolution dynamics is in the hugely reduced production times of the plants that are now approximately 20-30 years instead of the previous deterministic model predictions of 50 years and above. The predictions from this stochastic model are in conformity with available experimental observations.