metadata

license: mit
tags:
  - paraphrasing
language:
  - ind

stif_indonesia

STIF-Indonesia is formal-informal (bahasa baku - bahasa alay/slang) style transfer for Indonesian. Texts were collected from Twitter. Then, native speakers were aksed to transform the text into formal style.

Dataset Usage

Run pip install nusacrowd before loading the dataset through HuggingFace's load_dataset.

Citation

@inproceedings{wibowo2020semi,
  title={Semi-supervised low-resource style transfer of indonesian informal to formal language with iterative forward-translation},
  author={Wibowo, Haryo Akbarianto and Prawiro, Tatag Aziz and Ihsan, Muhammad and Aji, Alham Fikri and Prasojo, Radityo Eko and Mahendra, Rahmad and Fitriany, Suci},
  booktitle={2020 International Conference on Asian Language Processing (IALP)},
  pages={310--315},
  year={2020},
  organization={IEEE}
}

License

MIT

Homepage

https://github.com/haryoa/stif-indonesia

NusaCatalogue

For easy indexing and metadata: https://indonlp.github.io/nusa-catalogue