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---
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).
## 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) |