Sentence examples for semantic variability from inspiring English sources

Examining alternations involving additional types of nominalizations would round out our picture of syntactic and semantic variability in this domain.

For example, EHRs exhibit non-standard grammatical structure and high levels of lexical and semantic variability, coupled with many domain-specific abbreviations, complex sentences [ 18], as well as spelling errors (around 10% of words) [ 19].

To tailor semantics variability the notion of semantic variation point has been introduced in UML 2.0.

Double dissociation for semantic variables.

This helps in handling the existing variability or heterogeneity within this semantic.

The results were averaged over the replicate runs and the variability in computational times and semantic similarity scores was assessed with standard error of the mean (SEM).

Semantic interoperability requires unambiguous semantics.

A ubiquitous feature of speech is its great variability depending on its acoustic, phonological, semantic, and syntactic contexts.

Variability in formats, spatio-temporal granularity, access methods and differing semantic definitions hinder attempts to access, analyse, interpret, compare and combine datasets.

A latent semantic analysis (Supplementary Fig. S4) shows that the majority of the variability of the signatures can be explained with atom frequencies for long-range distances.

One possible reason for this variability is the type of nonword baseline used to discriminate phonological and semantic based processes.