How to Paraphrase Text using Python

As writers, we often aim out tools to assist us become more efficient or productive. Tools such as Grammarly can assist with language editing. Text generation tools can assist to rapidly generating original content by just providing the AI with a few keyword ideas to work with.

Perhaps this could allow end writer’s block? This is a doubtful question that is best saved for a later time.

Paraphrasing content is also another fantastic way to take existing content (either from your own or from others) and add your spin to it. Wouldn’t it be wonderful if we could paraphrase text automatically?

In this article, you will learn how to paraphrase text in Python utilizing the PARROT library. Particularly, under the hood PARROT’s paraphrasing technology is based on the T5 algorithm (an acronym for Text-To-Text Transfer Transformer) that was originally designed by Google . At a high level, text generation is a niche area of the thrilling area of natural language processing (NLP), which is generally directed to as artificial intelligence or AI when presented to the general audience.

Paraphrase Effectively with Python – Step-by-Step Guide

In this section, we have examined a step-by-step process for paraphrasing operating Python. Please note that, for this guide, we will be using the “Parrot Library” method to demonstrate how to paraphrase effectively. 

Go to Google Collab

First of all, you must go to Google Collab which is an online Notebook that lets users to run Python code. Google Collab delivers access to a lot of useful libraries and resources that can be useful for various purposes, and paraphrasing is one of them. 

If you’re new to Google Collab, then you have to sign up in order to begin using it. 

Install Parrot Library

Once your Google Collab is willing to go, you then need to install “Parrot Library”. You can install this library in numerous methods that are discussed below:

Procedure 1: 

• Click on File> Upload Notebook
• Choose > Github type “dataprofessor/parrot” and hit “Enter”
• A library named “PARROT.ipynb” will appear, choose it. 

Procedure 2: 

Another process through which you can install the Parrot library is by typing the code below:

After correctly following one of the methods noted above, you then must run the “Parrot Library”. And after running, it will look like this: 

Import library files

Once Parrot Library is installed successfully, you then have to import library files into it. The library files you require to import are listed below:

• Torch
• Warning
• Parrot

The “Parrot file” is provided with a pre-designed paraphrasing model that will perform the paraphrasing technique. While the “Torch file” needs to be imported because the pre-trained paraphrasing models that the “Parrot file” is operating are created using “Torch.” Lastly, the “Warning file” will skip the warnings that appear as the code indicates. 

While importing these files, you must refer to the “Parrot Library” which is the primary library. This is important because it will tell Python which library contains the above-mentioned files. 

For your comfort, we have written the whole code for importing library files below. All you need to do is to write the code below into the Collab. 

Duplicability of text Paraphrasing

From this step, you will begin heading toward the paraphrasing strategy. In this step, you have to set a random seed number; this will permit the duplicability of text paraphrasing. Doing this will yield the same results for the same seed number. 

Below is the code that you can utilize to set the seed amount of duplicability.

Load the Paraphrasing model of Python

Once you have fixed the random seed number, it is now time to initialize the paraphrasing model that will complete the process. 

To initialize the paraphrasing model, you have to type or paste the following code:

After documenting the code, you then need to run it by pressing CTRL+ENTER. And it will glimpse like this. 

Input the text that you want to paraphrase

Once the model is executed, a cell will emerge asking you to enter the phrase that you like to paraphrase. For this guide, we have set the following phrase:

“What’s the most tasty papaya?”

In Google Collab, the cell will look like this:

After entering the needed phrase, you then need to add a block of code to get the output results. In this code, you will be telling the paraphrase model what to do (like where to get input text, what to do with it, etc).

Get Output results

Finally, after you have counted the block of code written above, you then must run the code to get the output results for paraphrased text.

Conclusion

Overall, knowing how to paraphrase text is a bonus skill for writers, scholars, and researchers. No matter if you do it manually, or take assistance from a Python-based online paraphrasing tool, it is important to become a master of this process. In this article, we have examined a detailed guide on how you can learn the skill of paraphrasing with Python. Hope, you will like what we have delivered.