Sentence examples for semantic language from inspiring English sources

What are the applications of neural computing and semantic language processing?

The company has condensed the world's major languages into one universal semantic language by creating machine-readable identifiers that have the same meaning and context regardless of language.

For example, clinicians could track the brain activity of patients who have difficulty communicating and then match that data to semantic language maps to determine what their patients are trying to express.

Alexander Huth, a postdoctoral researcher in neuroscience at UC Berkeley, has won a prestigious early-career award for his work in decoding semantic language in the brain as a recipient of the Burroughs Wellcome Fund's Career Awards at the Scientific Interface.

For the semantic language models, we create two artificial documents to represent both strong and weak language patterns.

The results based on these semantic language models are consistent with expectations of propaganda and the language of influence.

The paper collects the main requirements that semantic languages must meet to be used in the manufacturing domain with the outlined purpose.

In the context of the expanding initiative of the Web of Linked Data, translating that information into semantic languages enables new ways of querying benefitting from the reuse of domain ontologies.

In fact, the available semantic languages are several and characterized by different features: the paper identifies the most proper ones for the manufacturing domain representation thanks to their analysis against the main requirements.

CEO Péter Vaskó told the second GeeknRolla start-up panel of the day that he wants to "wikify the web", meaning to analyse the web and give semantic, language-based filtering of online content.

It uses RDF Schema (http://www.w3.org/TR/rdf-schema) as the underlying vocabulary that is suitable to fully express UIMA structures, such as a hierarchy of types, their instances and relationships between them; it also forms a base for semantic languages such as OWL.