readme: ---
  license: apache-2.0
  language: en
  ---
  
  ## Source 
  A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual. The original model is at [https://github.com/PrithivirajDamodaran/Styleformer](https://github.com/PrithivirajDamodaran/Styleformer).
  
  ![Style](Styleformer.png)
  
  
  
  ## Examples:
  ```
  [Casual]  I am quitting my job
  [Formal]  I will be stepping down from my job.
  ----------------------------------------------------------------------------------------------------
  [Casual]  Jimmy is on crack and can't trust him
  [Formal]  Jimmy is a crack addict I cannot trust him
  ----------------------------------------------------------------------------------------------------
  [Casual]  What do guys do to show that they like a gal?
  [Formal]  What do guys do to demonstrate their affinity for women?
  ----------------------------------------------------------------------------------------------------
  [Casual]  i loooooooooooooooooooooooove going to the movies.
  [Formal]  I really like to go to the movies.
  ```
  
  ## References
  - [Formality Style Transfer for Noisy Text: Leveraging Out-of-Domain
  Parallel Data for In-Domain Training via POS Masking](https://www.aclweb.org/anthology/D19-5502.pdf)
  - [Generative Text Style Transfer for Improved Language Sophistication](http://cs230.stanford.edu/projects_winter_2020/reports/32069807.pdf)
  - [Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer](https://arxiv.org/pdf/1804.06437.pdf)