HokkienTranslation

Website: hokkien-phase2.netlify.app

We have published 2 papers at NAACL 2025 (System Demo Track)!

ATAIGI: An AI-Powered Multimodal Learning App Leveraging Generative Models for Low-Resource Taiwanese Hokkien
Yun-Hsin Chu, Shuai Zhu, Shou-Yi Hung, Bo-Ting Lin, En-Shiun Annie Lee, Richard Tzong-Han Tsai

Learning Low-Resource Languages Through NLP-Driven Flashcards: A Case Study of Hokkien in Language Learning Applications
Tai Zhang, Lucie Yang, Erin Chen, Karen Riani, Jessica Zipf, Mariana Shimabukuro, En-Shiun Annie Lee

Setup Guide

This guide provides instructions on how to set up and deploy the HokkienTranslation project.

Prerequisites

Before you begin, make sure that npm and expo-cli is installed on your system. If you do not have npm, please install it from npm's official website. If you do not have expo-cli run the following command to install: npm install -g expo-cli

Installation

1. Navigate to the HokkienTranslation project directory.

2. Run the following command to install all necessary dependencies:

   npm install
   

Running the Project

• To start the project on your local machine, run:

  npm run start
  

• To run the project in a web environment, use:

  npm run web
  

Citation

If you find this implementation useful in your works, please acknowledge it appropriately by citing:

@inproceedings{chu-etal-2025-ataigi,
    title = "{ATAIGI}: An {AI}-Powered Multimodal Learning App Leveraging Generative Models for Low-Resource {T}aiwanese Hokkien",
    author = "Chu, Yun-Hsin and Zhu, Shuai and Hung, Shou-Yi and Lin, Bo-Ting and Lee, En-Shiun Annie and Tsai, Richard Tzong-Han",
    booktitle = "Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations)",
    year = "2025",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.naacl-demo.2/",
}

@inproceedings{zhang-etal-2025-learning,
    title = "Learning Low-Resource Languages Through {NLP}-Driven {F}lashcards: A Case Study of Hokkien in Language Learning Applications",
    author = "Zhang, Tai and Yang, Lucie and Chen, Erin and Riani, Karen and Zipf, Jessica and Shimabukuro, Mariana and Lee, En-Shiun Annie",
    booktitle = "Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations)",
    year = "2025",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.naacl-demo.26/",
}