Sentence examples similar to a unification model from inspiring English sources

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LFG is thus a constraint−based nonderivational unification model, unlike other generative grammar models such as Principles and Parameters or Relational Grammar.

We have an obscured/absorbed and a scattered view of this source as expected from the unification model for Seyfert galaxies.

This Unification Model assumes that syntactic frames are stored in memory and retrieved on the basis of the spoken or written word form input.

For example, experiments in sentence processing have used the ELAN, N400, and P600 brain responses to examine how physiological brain responses reflect the different predictions of sentence processing models put forth by psycholinguists, such as Janet Fodor and Lyn Frazier's "serial" model, and Theo Vosse and Gerard Kempen's "Unification model".

Unification models of explanation typically posit an explanatory store of a relatively small number of laws or mechanisms that serve to explain or unify a diverse set of phenomena.

Physicists are still attempting to develop self-consistent unification models that would combine all four fundamental interactions into a theory of everything.

Within four months, however, and after a second talk, Smolin was telling Lisi that he had "one of the most compelling unification models I've seen in years".

Traditional accounts for scientific explanation such as covering-law, causal mechanical and unification models all present various kinds of drawbacks when applied to chaotic phenomena.

A unification of the current model with a sequence-based gene model would present opportunities to connect more factors (including mutation and recombination) driving gene variation with empirical patterns.

This, in turn, suggests a further possibility: A causal account of explanation is more appropriate at the level of the full model, while a unification account perhaps is more appropriate at the level of the chaotic model.

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The MRC receiver provides an additional degree of freedom for the performance control of the systems, and the probability distributions used to model the fading provide a unification of the mathematical analysis since they characterize different types of fading.

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