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In the narrative discourse, Sneferu (r. 2613 2589 BC) of the Fourth dynasty summons to court the sage and lector priest Neferti.
"it makes the science move a lot faster and I also think it is a good thing because otherwise the very few very well funded labs basically get to dominate the scientific discourse…" (R).
That said, the discourse in "The Red Parts" on shards — be they memory shards, ash and bone shards, bullet shards, ripped pieces of clothing, and so on — is very present and important to its ruminations.
Sadly our political discourse will return to Red v Blue.
Definition 1 Let U be a universe of discourse, X ⊆ U, and R is an equivalence relation on U. U/R represents the set of the equivalence class of U induced by R. The positive region of X on R in U is defined as pos(R, X) = ∪ { Y ∈ U/R | Y ⊆ X} [ 5].
There were no correlations between this composite discourse score and standard scores of syntax, r (41) =.23, ns, or morphology, r (45) =.20, ns, but there was a significant relation with vocabulary, r (45) =.38, p =.01.
There were strong relations between discourse scores and total number of words, r (45) =.43, p =.003; total different words, r (45) =.50, p =.0004; and mean length of utterance, r (45) =.46, p =.001.
More specifically, a discourse context is modeled as an equivalence relation R over a set of worlds C. The set of worlds C, i.e., the domain of R, can be thought of as the context set, i.e., the set of all worlds that are compatible with the information established in the discourse so far.
There was no relation between the composite discourse score and the discourse-based measures of morphological error rate, r (45) = −.19, ns, or syntactic error rate, r (45) = −.19, ns.
The inter-rater reliability for the ratings of the responses to the discourse completion pre-test, post-test, and follow-up test, as indicated by Pearson product-moment correlation coefficient (r), were respectively r = 0.88, r = 0.92, and r = 0.90.
In the case of R elation, the spreading rule, which relies on the 'one sense per discourse' heuristic, can be overly aggressive and propagate a wrong decision across the whole document.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com