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With one or the other of these techniques (usually only one is available for any typeface), words can be highlighted without making them stand out much from the rest of the text (inconspicuous stressing). This is used for marking passages that have a different context, such as book titles, words from foreign languages, or internal dialogue.
It may be preferable to avoid the need for emphasis by rewriting a sentence more explicitly. Use of emphasis more than once in a sentence is rarely helpful to readers, unless the emphasized terms are being directly compared (more often a words-as-words case for regular italics). See also: § Quotations, below.
Some words, by their structure, can suggest extended forms that may turn out to be contentious (e.g. lesbian and transgender imply the longer words lesbianism and transgenderism, which are sometimes taken as offensive for seeming to imply a belief system or agenda). For additional guidance on -ist/-ism terms, see § Contentious labels, above.
Once trained, such a model can detect synonymous words or suggest additional words for a partial sentence. Word2vec was developed by Tomáš Mikolov and colleagues at Google and published in 2013. Word2vec represents a word as a high-dimension vector of numbers which capture relationships between words.
Average words per sentence; Proportion of words with 3+ syllables (omits familiar words, proper nouns, compound words, and some others) US grade level Sonnet 18: 27th grade; Gettysburg Address: 15th grade; Dale–Chall readability formula: Average words per sentence; Proportion of familiar words (on a list of 3,000 pre-approved words) US grade ...
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