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A rendition of the Fry graph. The Fry readability formula (or Fry readability graph) is a readability metric for English texts, developed by Edward Fry. [1]The grade reading level (or reading difficulty level) is calculated by the average number of sentences (y-axis) and syllables (x-axis) per hundred words.
In mathematics, the infinite series 1 / 2 + 1 / 4 + 1 / 8 + 1 / 16 + ··· is an elementary example of a geometric series that converges absolutely. The sum of the series is 1.
Average words per sentence; Long sentences score harder. US grade level Sonnet 18: 24th grade; Gettysburg Address: 13th grade; SMOG: Proportion of words with 3+ syllables; Number Sonnet 18: 11.2 (7th grade) Gettysburg Address: 11.0 (7th grade) Gunning fog index: Average words per sentence
For each "easy word", defined as words with 2 syllables or less, add 1 point. For each "hard word", defined as words with 3 syllables or more, add 3 points. Divide the points by the number of sentences in the 100-word sample. Adjust the provisional result r: If r > 20, Lw = r / 2. If r ≤ 20, Lw = r / 2 - 1.
Zacharias Dase, by Eduard Kaiser, 1850. Johann Martin Zacharias Dase (June 23, 1824, Hamburg – September 11, 1861, Hamburg) was a German mental calculator. [1]He attended schools in Hamburg from a very early age, but later admitted that his instruction had little influence on him.
BLEU (bilingual evaluation understudy) is an algorithm for evaluating the quality of text which has been machine-translated from one natural language to another. Quality is considered to be the correspondence between a machine's output and that of a human: "the closer a machine translation is to a professional human translation, the better it is" – this is the central idea behind BLEU.
In information theory, linguistics, and computer science, the Levenshtein distance is a string metric for measuring the difference between two sequences. The Levenshtein distance between two words is the minimum number of single-character edits (insertions, deletions or substitutions) required to change one word into the other.
the set of 1-skip-2-grams includes all the bigrams (2-grams), and in addition the subsequences the in, rain Spain, in falls, Spain mainly, falls on, mainly the, and on plain. In skip-gram model, semantic relations between words are represented by linear combinations, capturing a form of compositionality.