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Write in your own words. It may seem obvious that editors should choose their own words when writing articles. We have a long content guideline on plagiarism and another explanatory essay on close paraphrasing. And it is obvious and normal for editors to choose their own words, rather than lift them from our sources. It is quite normal for a ...
Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.
There are a few specific situations when close paraphrasing is permitted. If information is gathered from the public domain or is free use content, close paraphrasing may be acceptable. In some instances it is helpful to capture the words as written, in which case the guidelines for quotations apply. Lastly, there may be some instances where it ...
Summarize the most important things your sources say. Don't copy/paste wording from your sources; instead, summarize the ideas in the source using your own words. Summarization is more than just changing a few words around here and there. Only add information supported by your sources. Don't add from your own knowledge or expertise.
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.
Some lists of common words distinguish between word forms, while others rank all forms of a word as a single lexeme (the form of the word as it would appear in a dictionary). For example, the lexeme be (as in to be ) comprises all its conjugations ( is , was , am , are , were , etc.), and contractions of those conjugations. [ 5 ]
Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents.
List of American words not widely used in the United Kingdom; List of British words not widely used in the United States; List of South African English regionalisms; List of words having different meanings in American and British English: A–L; List of words having different meanings in American and British English: M–Z
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