How often should i Cite when Paraphrasing?

How often should I cite when paraphrasing? Note: This post is being written using the guidelines and context of APA citation. To learn about the basics of APA style, refer to our post, APA Seventh Edition. When writing your academic papers or reports, an important skill to have is the ability to paraphrase. Paraphrasing is the act of putting another person’s idea or ideas into your own words. If you’ve written an essay before, you’re probably familiar with the practice of paraphrasing. This is a good thing, because you’ll notice that published authors paraphrase from other texts much more than they use direct quotes. As a student author, you should endeavour to follow this practice, too. Of course, regardless of whether you’re paraphrasing or quoting, you must cite your sources. If your paraphrase is only one sentence long, citing is very simple! You just introduce the text by providing the author(s) and date (colour-coded below for clarity). Tandon et. al (2020) suggest that individuals who use social media at night may experience insomnia or sleeplessness due to a “fear of missing out” (FOMO).

The incorrect example provided featured a sentence structure that followed too closely to that of the original text. Additionally, the writer only swapped out a few words for very common synonyms so the paraphrased content is ultimately too similar to the original text. An academic work that used this paraphrase would be cited for plagiarism. On the other hand, the correct example featured paraphrased content that is properly cited, with variety to the sentence structure and text that includes words beyond just synonyms to words in the original content. This example also contains the main ideas, but is ultimately slightly condensed from the original text. Summarizing is providing a brief description of the key ideas from a written work. This description should be in one’s own writing, and is typically significantly shorter than the source material because it only touches on the main points. Summaries are commonly used when a writer hopes to capture the central idea of a work, without relying on the specific wording that the original author used to explain the idea.

It feels confusing to you in that situation of whether they even perceive what it is that you are sacrificing, what you’re giving up. That it almost feels like you’re giving up part of yourself to match what you think they may want or need from you. And I kind of got the feeling, as you were saying that you wonder if they even see that. Yeah. As I was sort of verbalizing and talking through that, I actually realised that even within that sacrifice, it’s all my perception of what I think they might want me to do. And just saying that is actually a bit ridiculous. Because how am I to know what it is that they want or need to do? So here I am - disregarding my own desires, for lack of a better word - to do something I assume someone else would want me to do instead.

This feature enables you to quickly revise your text without compromising on quality. Furthermore, Quillbot’s user-friendly interface allows for easy navigation and efficient use of the tool’s features. With just a few clicks, you can transform your writing from average to exceptional. Using Quillbot goes beyond just saving time; it also helps improve your writing skills. As you explore different options suggested by the tool, you gain exposure to alternative sentence structures and vocabulary choices that may have otherwise been overlooked. This exposure broadens your understanding of language usage and enhances your overall writing proficiency. Additionally, by using Quillbot as a learning tool alongside traditional grammar resources, you can strengthen your grasp on grammar rules and sentence construction. The tool’s suggestions provide valuable insights into how sentences can be rephrased while preserving their intended meaning. This process of actively engaging with the suggestions helps you internalize grammatical concepts and apply them effectively in your writing. Maintaining originality is a vital aspect of any writing endeavor.

For example, the phrase "under control" in an English sentence is aligned with the phrase "unter kontrolle" in its German counterpart. There has been success in using long short-term memory (LSTM) models to generate paraphrases. In short, the model consists of an encoder and decoder component, both implemented using variations of a stacked residual LSTM. First, the encoding LSTM takes a one-hot encoding of all the words in a sentence as input and produces a final hidden vector, which can represent the input sentence. The decoding LSTM takes the hidden vector as input and generates a new sentence, terminating in an end-of-sentence token. The encoder and decoder are trained to take a phrase and reproduce the one-hot distribution of a corresponding paraphrase by minimizing perplexity using simple stochastic gradient descent. New paraphrases are generated by inputting a new phrase to the encoder and passing the output to the decoder. With the introduction of Transformer models, paraphrase generation approaches improved their ability to generate text by scaling neural network parameters and heavily parallelizing training through feed-forward layers.