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QuillBot is a software developed in 2017 that uses artificial intelligence to rewrite and paraphrase text. [1] [2] [3] [4]
My students also relied heavily on AI-powered paraphrasing tools such as Quillbot. Paraphrasing well, like drafting original research, is a process of deepening understanding.
A paraphrase can be introduced with verbum dicendi—a declaratory expression to signal the transition to the paraphrase. For example, in "The author states 'The signal was red,' that is, the train was not allowed to proceed," the that is signals the paraphrase that follows. A paraphrase does not need to accompany a direct quotation. [20]
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.
In translation theory, another term for literal translation is metaphrase (as opposed to paraphrase for an analogous translation). It is to be distinguished from an interpretation (done, for example, by an interpreter). Literal translation leads to mistranslation of idioms, which can be a serious problem for machine translation. [2]
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 ]
Google Maps allows the user to start a treasure hunt by selecting the "Treasure" view from the top right. Google Maps notes that the "system may not be able to display at higher resolutions than paper print" and that the user should "take care when unfolding the map to avoid ripping it." Also, the user is warned to 'beaware [sic] of pirates'.
Abstraction may transform the extracted content by paraphrasing sections of the source document, to condense a text more strongly than extraction. Such transformation, however, is computationally much more challenging than extraction, involving both natural language processing and often a deep understanding of the domain of the original text in ...
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