Sentence examples for phrasing of the text from inspiring English sources

Exact(1)

Speaking on the opening day of the CSW in New York, Bachelet said that although the phrasing of the text was important, what was needed was the will and action to eliminate violence against women and girls.

Similar(54)

We only play this once before going back over some shaping and wrangling over awkward bowing in other movements where the phrasing of the texts kicks against the bowing that would come most naturally to us.

: The shared repetitive nature of the phrasing of the texts, apart from Gv and I, suggests to Pozdniakov that they are not integral texts, and cannot contain the varied contents which would be expected for history or mythology.

Her bright, soft-grained, focused voice moved through the music like a moonbeam, but the overall interpretation was marred by a lack of smart (or much of any) phrasing, interesting expression of the text, and uncreative stock gentures.

However, it was pointed out yesterday that Paltrow did use a version of the phrase in the text of the March 2014 blogpost, which appeared jointly under her and Martin's names.

Position of keyword phrases in the text, the alt tag description, the titles of the pages, the page URL, and Meta Tags in the heading area all have a role to play.

The study shows that supporting the audio explanations of graphics with visually presented on-screen phrases expressing main ideas of the text could be the most effective way of instructing learners for whom the language of instruction is a foreign or second language.

These may be legitimate reactions to the way the text was phrased or the content of the text itself.

The output of the Perl script is included as a supplemental file [see Additional file 3]. 3. The Perl script getdoub.pl implements algorithm 2 to extract phrases from the text corpora composed of sequences of doublets included in the original nomenclature and exceeding 4 words in length [see Additional file 4].

Responsive to this request, a translation of the text phrase is selected from a set of available translations.

Their approach locates useful (non-PHI) phrases and replaces the rest of the text with de-identified tags.

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