Paraphrasing is a technique for expressing ideas with different words to achieve clarity and uniqueness. Paraphrasing can be done manually or by using paraphrasing tools that are fueled with Python and AI on the backend.
Paraphrasing is mainly used to alter a text to make it look more distinctive than the original text while also ensuring that the original meaning remains.
Paraphrasing, when done by a human, is considered to be more accurate when compared with AI-based tools, but this is not always the case.
In this post, I will discuss how you can take advantage of Python and AI-based paraphrasing tools to paraphrase any text you want and how paraphrasing tools can help you swiftly rewrite any text in minutes.
What Is Python? How Is It Used in Paraphrasing Tools?
Many of you may be familiar with Python as a programming language but don’t know much about it. Right?
Well, it is an ideal coding language with lively semantics that deals with data within the application. Nowadays, Python is widely used in paraphrasing tools and other text editors.
Developers mainly use Python to reduce the response time between a keystroke and a machine. This decrease in response is down to the light nature of the code.
This is why most developers prefer to use Python when lots of data is involved on the user’s end. Common examples of Python-based tools include paraphrasing tools, plagiarism checkers, word counters, and grammar checkers.
Paraphrasing using Python is generally done with fine-tuned transformers. To give you an insight into how this works, we will use a T5 transformer that comprises an architecture model called Parrot.
Parrot is an augmentation framework that aims to speed up training models based on natural language understanding (NLU). To get started, you need to install a fine-tuned model to do the paraphrasing. You can install it with these steps:
'''
INSTALLATION STEPS:
pip install git+https://github.com/PrithivirajDamodaran/Parrot_Paraphraser.git
'''
from parrot import Parrot
parrot = Parrot()Depending on your internet speed, downloading the model’s weight and tokenizer may take a few seconds or a few minutes.
The Parrot library comprises multiple libraries, and each has its own function: one model performs paraphrasing, one analyzes and calculates fluency, one checks adequacy, and one looks for diversity.
Let's look at a quick example with a sentence as the input.
phrases = [
('Many of you may be familiar with Python as a programming language,'
' but don\'t know much about it')
]
for phrase in phrases:
print('-'*110)
print('Input Phrase:', phrase)
print('-'*110)
paraphrases = parrot.augment(input_phrase=phrase)
if paraphrases:
for paraphrase in paraphrases:
print(paraphrase)In this library, the sentence is passed in a text form, and Parrot augment is used to produce different paraphrased texts. Here is the result:
('Many of you are probably familiar with Python as a programming language, but know very little about it', 27)
('Many of you may be familiar with Python as a programming language, but don't know much about it', 13)
The number at the end of each result is the diversity score. These values define how diverse the resulting sentence is from the input text.
Now you can see how Python helps to generate diverse, readable, and clear content.
Here is theParrot Paraphraser repository.
Note: other training models are available to use with transformers in a paraphrasing tool to ensure quick and accurate results.
Difference Between Conventional Paraphrasing Tools and AI/Python in Paraphrasing Tools
Paraphrasing tools have been around for quite a while but have gained significant popularity since the involvement of AI and Python.
At first, they were just text spinners that changed all the words in a text with their counter synonyms, but this made the text unreadable.
For instance, if you use a conventional paraphrasing tool that isn’t backed by AI or Python with a phrase like: “I am making dinner for my family”, it will change this to something like: “ I am constructing feed for my household.”
This sentence isn’t readable or reader-friendly at all. But if you use the exact phrase in a paraphrasing tool like paraphrasingtool.ai (which uses Python and AI algorithms), it will generate different results.
Let’s take a look at a small example with this same sentence.
It doesn’t try to replace all the words with synonyms; instead, it uses relative terms to change the phrase while retaining the original idea.
Also, it makes sure not to reduce the length significantly. Such tools generate results similar to a human writer because of AI.
Why Should You Avoid Using Paraphrasing Tools Without Python and AI?
We’ve already discussed one example of how conventional paraphrasers spin content and make it worse. The text generated by these tools is not readable, compelling, meaningful, or useful anywhere, whether you are presenting it to your teacher or your audience on a website.
Here are the main disadvantages of paraphrasing tools without AI and Python:
- They don’t detect the text’s intent or context
- They are unable to understand the actual meaning of the text
- They only detect words and are unable to detect phrases, sentences, or even paragraphs in a passage
- They use irrelevant synonyms, resulting in low to no readability
Why Use a Python-Based AI Paraphraser?
When smart paraphrasing tools use Python with Artificial Intelligence, they can detect, analyze, and create content just like a human writer.
Python speeds up the process with light code, and AI performs specific actions to produce acceptable to excellent outcomes.
Python and AI have significantly improved the results produced by these tools, and they can be used to change your text in many different ways:
Improve text quality: Make specific changes to improve the text’s clarity and readability for the general public.
Generate near-human results: Uses the GPT3 model to ensure that text is rewritten like a human.
Remove traces of plagiarism: Even if your text contains plagiarism, these tools can easily remove it by changing words, reducing length, and adding or removing some words.
Rephrase text in creative ways: If your word choice makes your text looks dull, these tools can help to creatively rework your text by altering sentence structure and making other changes.
There are many ways that a good paraphraser can help you. No matter what you do, you should use a paraphraser when dealing with text.
Paraphrasing Tools and Their Uses
- Paraphrasing, in general, is a method to make changes to a text to improve it, achieve uniqueness, and produce a new text version when compared with the original, all while ensuring the meaning of both texts is the same
- Many writers across the globe perform paraphrasing, but it can also be done with automatic paraphrasing or rewriting tools
- Paraphrasing tools are widely used by writers, students, bloggers, email marketers, and so on. These paraphrase text in a similar way to a human, but at a quicker pace; while a human may need minutes to paraphrase a sentence, these tools take seconds
So, these tools are considered to be a reliable and effective paraphrasing solution by people from varying fields when dealing with text in a range of situations.
Conclusion
Paraphrasing is a commonly used technique to remove plagiarism or to represent existing text in your own words (or in a better way).
Paraphrasing tools are available on many different websites, but not every tool is as efficient as it claims. Python and AI improve these tools, allowing them to deal with any type of content.
Furthermore, if any doubt hinders you, you can test different tools to see their differences. One of the best tools with proven results is paraphrasingtool.ai which can help you do your maximum work within seconds.
