AI is rising! Artificial intelligence is expanding and advancing at an unprecedented rate. We, humans, have been able to design tools that can discover knowledge from giant data sets, automate different processes, recognise faces, draw near-perfect images, and generate near-human text.
Natural Language Processing is an extensive research & development domain in AI concerned with designing models that can understand, process, and generate natural human language. Today, we have numerous powerful NLP models, such as Google’s BERT and Open AI’s GPT, which can understand natural language and deliver accurate, context-sensitive, grammatically & syntactically flawless responses. Moreover, these responses are so natural that it is near impossible to distinguish them as automated responses from a synthetic entity.
AI paraphrasing is a central application area in Natural Language Generation, a sub-domain in NLP. Robust AI paraphrasing systems are available both for free & at premium prices, helping assignment writer of all kinds craft outstanding content.
But is it all a fad? Are AI paraphrasing tools worth it? And how do these tools generate human-like content? Find out everything below.
Why Consider An AI Paraphrasing Tool For Writing Articles?
The unnatural proliferation of AI in the last decade has led to the rise of a host of online paraphrasing tools online. Just type the word in Google, and numerous free & freemium online AI paraphrasers will appear in the SERPs. In addition, writers of all kinds now utilise AI-powered paraphrasing tools to generate fresh and engaging on a variety of topics. These tools are powerful enough to rephrase and rehash any size & type of content in a matter of minutes.
Here’s a look at the most prominent benefits they offer.
- Modify & Rejig ANY Content
The best AI paraphrasing tools aid in composing top-notch content from any source. The AI models do not just rearrange sentences or replace words with synonyms but can understand the logic, context, semantics, and much more.
- Tools That Learn Automatically
Using mathematical techniques & statistical learning theory, these AI tools learn from each application and deliver better responses in subsequent operations. For example, tools powered by BERT (Bidirectional Encoder Representations from Transformers) and GPT-3 (Generative Pre-Trained Transformer) use deep learning to generate content that feels more & more human on subsequent usage.
- Instant Results
AI paraphrasing tools work in the blink of an eye. You can get your hands on top-tier content any time you want with just a few clicks. Time constraints and narrow deadlines cease to worry when you have a good AI paraphrasing tool by your side.
- Easy Rewrites
Whether paraphrasing a 500-word essay or a 5000-word web content, everything gets done in a flash with the AI paraphrasing tool. The NLP domain has undergone and is still going through rapid advancements, with devices now powered by a scalable model that can adapt to a wide range of tasks through transfer learning.
There are large language models in development that can generate coherent, long-form text, generate human-like text with real-world knowledge, and even perform basic mathematical operations.
- Zero Chances of Plagiarism
AI-powered paraphrasing tools do more than restructure sentences or replace words. As a result, their performance sometimes exceeds the abilities of a capable human writers. Most AI paraphrasing tools even provide a side-by-side view of the generated content’s unique content from the source material.
- Craft Engaging Content From Existing Ideas
Developing unique and fresh content on common topics is not easy. If the issue or keyword is highly competitive, it is customary to expect a lot of content about it on the Internet.
With an AI paraphrasing tool by your side, anyone can generate stunning & utterly original content with a click. The best tools can use rich vocabulary and engaging content structures to create unique content that impresses everyone.
- Inspiration For Writers
Many writers use AI paraphrasers to twist some old write-ups and find new ways of approaching a topic. Paraphrased content from AI tools mimics human written content and can quickly help writers find the right writing inspiration.
All the above factors offer some prominent reasons for using AI paraphrasing tools for writing articles & any other content. They are fast, flawless, and produce human-like content unlike anything else out there.
Wondering which AI technique powers the most renowned AI paraphrasing tools on the Web? Curious to know how they work behind the scenes? Here’s a look at one of the most potent methods, deep reinforcement learning.
AI Paraphrase Generation with Deep Reinforcement Learning
Before we begin, let’s make one thing clear. AI, machine & deep learning, and natural language processing are tech-heavy domains. So here, we will skip the convoluted technicalities to make things easier for all readers. Nevertheless, you will find specific technical terms related to machine learning in the insights below.
- This approach uses a new framework that comprises a generator and evaluator, both of which learn from data.
The evaluator is a deep matching model that determines whether two sentences are paraphrases of each other. The generator is first trained using deep learning and then fine-tuned using reinforcement learning, where the evaluator provides the reward.
- Reinforcement learning agents learn through interacting with the environment and evaluating the rewards they receive. Deep reinforcement learning uses neural networks as function approximators that allow AI models to outperform humans in complex environments.
- There are three main approaches to optimising the deep reinforcement model:
- Word Overlap Metrics: We consider the proportion of word overlap between the generated paraphrase and the evaluation sentence. The greater the overlap, the greater the reward.
- Sentence-Level Similarity & Fluency Metrics: A generated paraphrase must be natural, fluent, and semantically like the input sentence. All these metrics are explicitly scored individually and then combined.
For semantic similarity, specific advanced models use the casein similarity between sentence embeddings from pre-trained models such as BERT. For fluency, AI paraphrasers use scores based on the perplexity of a sentence from GPT-2 models.
- Using Adversarial Models As Reward Functions: Separate models called discriminators predict whether sentences are paraphrases of one another.
An adversarial-trained deep reinforcement model then tries to convince the discriminator that the generated sentence is a paraphrase of the input, producing a score of how likely two sentences are paraphrased. This score is then used as a reward to train the agent.
For every 5000 guesses, the discriminator is told which paraphrase came from the dataset and which was generated to improve its future guesses. The process continues with the model trying to fool the discriminator and the discriminator improving its guesses with every subsequent operation
The adversarial agent generates paraphrases that outperform most supervised models and other reward functions.
The most advanced AI paraphrasing tools that offer services at a price employ adversarial approaches for training reinforcement learning algorithms. As a result, models with such training exceed human-level performance on various paraphrasing tasks without any explicit reward function.
And that brings us to the conclusion of this write-up.
Hope it was an exciting and informative read for one & all. Whether a budding content writer or a professional assignment help copywriter, AI paraphrasing tools can be a boon for everyone. All the myriad benefits offered by AI paraphrasing tools can elevate content quality substantially and even boost the skills & ideas of all writers alike.
