Sentence examples for a language framework from inspiring English sources

A language framework could have a pervasive effect on society, institutions as well as individuals.

It is also a great challenge to construct and validate the illustrative descriptors of a language framework (Zhu 2015).

According to the first principle, sentences are analytic relative to a language framework L when their truth follows from its grammar and vocabulary alone.

Therefore, in our view, the development and the implementation of a language framework is not simply a professional endeavor but a complex political initiative, at both macro and micro levels.

We define and unify the concepts and features of privacy-preserving attribute-based credentials (Privacy-ABCs), provide a language framework in XML schema, and present the API of a Privacy-ABC system that supports all the features we describe.

But Quine explicitly allowed for the existence of the class of logical truths (such as "No unmarried man is married") as narrowly analytic sentences and their relationship to broadly analytic sentences (such as "No bachelor is married"), when the definitional relationship between them has been suitably stipulated (as in "bachelor =df unmarried, adult male" in a language framework L).

In this regard, the need for a local language framework that can act as a point of reference and as an indication of language achievements in schools and universities is therefore urgent, as proposed by Jin et al (2016).

We discuss these issues, as a contribution to the development of a common language, framework and suite of research approaches among ecologists, remote-sensing experts and stakeholders (conservation managers) on the ground, and highlight recent theoretical and applied advances that provide opportunities for meeting these challenges.

With the ChemicalTagger [29] system, we have built a natural language framework which recognises parts of speech and phrase.

It links English narratives to numbers using a categorical language framework with mathematical mappings taking the place of conjunctions and numbers.

Currently we have extracted 21 types of action phrase from this corpus: With the ChemicalTagger [29] system, we have built a natural language framework which recognises parts of speech and phrase.