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Word wrap is the additional feature of most text editors, word processors, and web browsers, of breaking lines between words rather than within words, where possible. Word wrap makes it unnecessary to hard-code newline delimiters within paragraphs, and allows the display of text to adapt flexibly and dynamically to displays of varying sizes.
6. “I don’t believe in love at first sight, but you have me considering love at first swipe.” 7. “I’d say bless you, but it looks like you already have been.”
The line breaking rules in East Asian languages specify how to wrap East Asian Language text such as Chinese, Japanese, and Korean.Certain characters in those languages should not come at the end of a line, certain characters should not come at the start of a line, and some characters should never be split up across two lines.
The author adds the caveat that in certain instances a writer may want to use two spaces between sentences. The examples given are: when one space "may not provide a clear visual break between sentences", if an abbreviation is used at the end of a sentence, or when some very small proportional fonts (such as 10-point Times New Roman) are used.
It has been estimated that the vocabulary of the English language consists of roughly 1 million words (although some linguists take that number with a grain of salt and say they wouldn't be ...
I used to own a taser. It was stunning. I don't like facial hair, but it's starting to grow on me. Once I ate a fancy Italian restaurant. It cost a pretty penne.
The article on Steaming is one good example on how the diff algorithm fails miserably. The "very minor" changes dated 03:48, January 19, 2006 , by user 64.69.92.30 in the revision history [1] , show how the minor changes failed to show up as what they actually are because the minor changes to consecutive paragraphs throw diff totally off base.
This process of breaking up sentences into smaller units until fully exhausted is seen in the hierarchical structure of syntax trees. When looking at a tree, a phrasal label, or node , lets us know that the set of substrings below that label behave in a distributionally coherent way.