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Paraphrase or paraphrasing in computational linguistics is the natural language processing task of detecting and generating paraphrases. Applications of paraphrasing are varied including information retrieval, question answering , text summarization , and plagiarism detection . [ 1 ]
Research from 2021 proposed that QuillBot could potentially be used for paraphrasing tasks, but indicated the importance of English language proficiency for using it properly. [ 7 ] [ 8 ] [ 9 ] See also
A paraphrase or rephrase (/ ˈ p ær ə ˌ f r eɪ z /) is the rendering of the same text in different words without losing the meaning of the text itself. [1] More often than not, a paraphrased text can convey its meaning better than the original words. In other words, it is a copy of the text in meaning, but which is different from the original.
In the end, though, professional translation firms that employ machine translation use it as a tool to create a rough translation that is then tweaked by a human, professional translator. Douglas Hofstadter gave an example of a failure of machine translation: the English sentence "In their house, everything comes in pairs.
A close paraphrase of one sentence from a book may be of low concern, while a close paraphrase of one paragraph of a two-paragraph article might be considered a serious violation. Editors must therefore take particular care when writing an article, or a section of an article, that has much the same scope as a single source.
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