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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.
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 ]
Praat (/ p r ɑː t / PRAHT, Dutch: ⓘ; transl. "Talk") is a free, open-source computer software package widely used for speech analysis and synthesis in phonetics [4] and other fields of linguistics. It was designed and continues to be developed by Paul Boersma and David Weenink at the University of Amsterdam. [4]
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]
Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.
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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.
Maybe it was nerves for her first World Cup race back in nearly six years. Whatever it was, Lindsey Vonn took just a handful of gates this weekend to recover from a poor start and rediscover her ...
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