Build NLP Paraphrase Generator

Instantly build Python Paraphrase Generator for NLP

Paraphrase Generator is used to build NLP training data in minutes with this fully editable source code that comes along with the Kandi 1-Click Solution kit. 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 requirement.

Instructions to Run

Follow the below instructions to run the solution.

1. Locate and open the 'paraphrase_generator.ipynb' notebook from the Jupyter Notebook browser window.
2. Execute cells in the notebook by selecting Cell --> Run All from Menu bar.
3. Once all the cells of the notebook are executed, the last interactive cell (Interactive shell simulation) will be active where input data can be given.

Input data

Enter a phrase (To quit enter exit): How do I become an astronaut?
Do you want phrasal diversity (y or n): n

Output data

Input_phrase:  How do I become an astronaut?
----------------------------------------------------------------------------------------------------
('how can i become a successful astronaut?', 26)
('how can one become an astronaut?', 16)
('how should i become an astronaut?', 14)
('how do i become an astronaut?', 12)

For any support, you can reach us at FAQ & Support

Troubleshooting

1. If you encounter any error related to MS Visual C++, please install MS Visual Build tools
2. While running batch file, if you encounter Windows protection alert, select More info --> Run anyway.
3. During kit installer, if you encounter Windows security alert, click Allow.
4. If you encounter Memory Error, check if the available memory is sufficient and it is proportion to the size of the data being used. For our dataset, the minimum required memory is 8 GB.

If your computer doesn't support standard commands from windows 10, you can follow the instructions below to finish the kit installation.

1. Install python
2. Download the repository
3. Extract the zip file and navigate to the directory 'parrot-paraphrase-generator-main'
4. Open terminal in the extracted directory 'parrot-paraphrase-generator-main'
5. Install dependencies by executing the command 'pip install -r requirements.txt'
6. Run the command ‘jupyter notebook’ and select the notebook ‘paraphrase_generator.ipynb’ on the browser window.

For a detailed tutorial on installing & executing the solution as well as learning resources including training & certification opportunities, please visit the OpenWeaver Community

Development Environment

VSCode and Jupyter Notebook are used for development and debugging. Jupyter Notebook is a web-based interactive environment often used for experiments, whereas VSCode is used to get a typical experience of IDE for developers. Jupyter Notebook is used for our development.

Exploratory Data Analysis

For extensive analysis and exploration of data, and to deal with arrays, these libraries are used. They are also used for performing scientific computation and data manipulation.

Text Mining

Libraries in this group are used for analysis and processing of unstructured natural language.

Machine Learning

The library offers state-of-the-art pre-trained models for Natural Language Processing (NLP).

Support

If you need help using this kit, you may reach us at the OpenWeaver Community.