Sentence examples for automated readability from inspiring English sources

Automated Readability Index--Influenced by sentence length and character count.

Over 200 formulas have been reported for readability in the English language [13] from 1920s to 1980s, among them the Gunning-Fox index [24], the Automated Readability Index (ARI) [46], the Flesch Reading Ease [16, 19], and the Flesch Kincaid Grade Level [32]; we briefly discuss a few of them in order to provide some intuition of the ideas behind.

Abbreviations: ARI, Automated Readability Index; FRESV, Flesch Reading Ease scale value; SARI, Simplified Automated Readability Index.

Simplified Automated Readability Index--A modified version of the Automated Readability Index and influenced by sentence length and character count.

The Automated Readability Index for all materials was 10.7 (SD 1.97; 95% CI 8.62 12.77) and required an age of 15 16 years to understand the text.

For each analysis, 6 readability scales were used--Flesch-Kincaid, Automated Readability Index, Linsear Write, New Fog Count, Simplified Automated Readability Index, and Flesch Reading Ease--to determine the readability of the text by analyzing syllable count, length of sentences, complexity of words, and other text characteristics.

7. We used the PROMs in theirstandard lay-out, and based on the testing, we made minimal adjustments to optimise readability for elderly patients, and to facilitate automated forms processing.

Also, none of the studies in our review looked at the effects of de-identification on subsequent automated information extraction tasks, nor did they look at how automated de-identification affects the readability and interpretability of remaining clinical data.

The automated performance matches or exceeds that of two human evaluators [ 43] and preserves the readability of the original text [ 43].

With digitized text material, where OCR quality or human readability depends on certain image parameters like contrast and sharpness, the use of quality metadata will provide good automated optimization results without overprocessing the digitized text (like halos around letters that occur due to oversharpening) [57].

The integration of mechanism fragments extracted by natural language processing into pathways can be automated to some extent (19), but is likely to require some human evaluation and intervention, which is facilitated by the readability of the BEL.