Advance your NLP Journey | Build a Paraphrase Generator

Paraphrase Generator is used to build NLP training data in minutes with this fully editable source code. The entire solution is available as a package to download from the source code repository.

  • Generate paraphrases for text using this application. The trained model for Google PAWS, ParaNMT, Quora question pairs, SNIPS commands, and MSRP Frames
  • Use Paraphrasers to augment training data for Natural Language Understanding models to build conversational engines.
  • Modify source code to customize as per your requirements

Complete this Virtual Lab in 3 easy steps to earn your certificate!

STEP 1 : Watch the below self-guided tutorial.
STEP 2 : Practice as you watch the video by installing and working with the kandi 1-click solution kit.
STEP 3 : Complete the assessment and submit screenshots of your working model to receive your certificate.

NOTE: Your start date is the date you enrolled for this course. You have 90 days from your enrollment date to complete the course.


Watch this self-guided tutorial on an understanding of installing dependent libraries (e.g. PyTorch, sentence transformers, and transformers); load pre-trained models on which this generator is already trained to make use of open source libraries to build your own Python Paraphrase Generator for NLP.


Click the below button to access the Paraphrase Generator kandi kit. This kit has all the required dependencies and resources you need to build your application.

Click on the 1-Click Installer button on the kandi kit page to install the Paraphrase Generator kit. On installing and running this kit, you will have a working model that you can customize and use in your project.

kandi 1click kit button

After completing this step, proceed to STEP 3.


Complete a short assessment and earn your certificate now. Congrats

Your assessment will be reviewed and you will receive a verified certificate via email within a week.


Reach out to us by replying below for any help you may need with this course.

We hope you enjoyed using kandi!