haryoa/stif-indonesia

Implementation of "Semi-Supervised Low-Resource Style Transfer of Indonesian Informal to Formal Language with Iterative Forward-Translation". # STIF-Indonesia An implementation of "Semi-Supervised Low-Resource Style Transfer of Indonesian Informal to Formal Language with Iterative Forward-Translation". You can also find Indonesian informal-formal parallel corpus in this repository. ## Description We were researching transforming a sentence from informal to its formal form. Our work addresses a style-transfer from informal to formal Indonesian as a low-resource **machine translation** problem. We benchmark several strategies to perform the style transfer. In this repository, we provide the Phrase-Based Statistical Machine Translation, which has the highest result in our experiment. Note that, our data is extremely low-resource and domain-specific (Customer Service domain). Therefore, the system might not be robust towards out-of-domain input. Our future work includes exploring more robust style transfer. Stay tuned! ## Paper You can access our paper below: Semi-Supervised Low-Resource Style Transfer of Indonesian Informal to Formal Language with Iterative Forward-Translation (IALP 2020) Medium Article: Mengubah Bahasa Indonesia Informal Menjadi Baku Menggunakan Kecerdasan Buatan (In Indonesian) ## Requirements We use the RELEASE 4.0 Ubuntu 17.04+ version which only works on the specified OS. We haven't tested it on other OS (e.g.: OS X and Windows). If you want to run the source code, use Ubuntu 17.04+. If you use windows, we advise you to use the WSL-2 to run the code. In this experiment, we wrap the MOSES code by using Python's `subprocess`. So Python installation is necessary. The system is tested on Python 3.9. We recommend it to install with `miniconda`. You can install it by following this link: docs.conda.io ## How To Run First, clone the repository ```bash git clone github.com ``` Then run the MOSES downloader. We use .sh, so use a CLI application that can execute it. On …