English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

A theory of natural language can be evaluated on both extensional and intensional grounds. Systematic investigations of the extension of a theory may, for instance, lead to studies of the invariance properties of such theories. The intentional parameters that I wish to address include complexity, learnability, and monotonicity. The main results, on which my thesis builds, up to this point, include: (i) the universal recognition problem of model-theoretic feature-based grammar formalisms is complete for non-deterministic polynomial time, since such formalisms have the polysize model property, (ii) this result holds also for linearization-based extensions, (iii) the universal recognition problem of strongly monotonic, hybrid feature-based grammar formalisms is decidable in deterministic polynomial time, and (iv) there exists a strongly monotonic unification categorial grammar that is learnable in the limit from positive data. In addition, invariance studies have lead to the identification of a class of modal languages that define common feature-based grammar formalisms. The objective of my studies is to identify a tractable and learnable feature-based formalism.

Logical investigations on the adequacy of certain feature-based theories of natural language