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turning long sentences into multiple shorter ones (or vice versa) expressing abstract concepts more concretely. Paraphrasing with synonyms is considered by some to be an acceptable stage in teaching paraphrase, but it is necessary that it is ultimately combined with techniques for altering sentence structure to avoid the appearance of ...
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
Active listening includes further understanding and closeness between the listener and speaker. The more basic ways this is done are through paraphrasing, reflective emotion, and open-ended questions. Paraphrasing involves putting the speaker's message in one's words to demonstrate one's understanding and continue the discussion.
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.
Personal free writing is the practice of writing what one is thinking without considering organization or grammatical errors. In a study done by Fred McKinney, free writing was defined as letting one’s thoughts and words flow onto paper without hesitation. [21] This can be done in the format of letters or even a personal notebook.
Literal translation, direct translation, or word-for-word translation is the translation of a text done by translating each word separately without analysing how the words are used together in a phrase or sentence. [1] In translation theory, another term for literal translation is metaphrase (as opposed to paraphrase for an analogous translation).
GPT-1 achieved a 5.8% and 1.5% improvement over previous best results [3] on natural language inference (also known as textual entailment) tasks, evaluating the ability to interpret pairs of sentences from various datasets and classify the relationship between them as "entailment", "contradiction" or "neutral". [3]
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