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Preserving Orang Asli Language Resources (POLAR)

This is a collaborative research initiative between Monash University Malaysia and the Universiti Malaysia Sarawak (UNIMAS). The dataset forms part of a Final Year Project (Project ID: 47208) conducted under the School of Information Technology, Monash University Malaysia, with the aim of supporting the preservation of the Orang Asli languages of Malaysia through digital resources.

Project Information

Field Details
Project Title POLAR (Preserving Orang Asli Language Resources)
Project ID 47208
Institution Monash University Malaysia & Universiti Malaysia Sarawak (UNIMAS)
Supervisor Dr. Soon Lay Ki
Level Final Year Project (Undergraduate)

Project Team

Name Email Student ID
Chun Chi Heng cchu0088@student.monash.edu 33495238
Jess Ng Jing Xuan jngg0147@student.monash.edu 33991715
Tyler Tan Chek Li ttan0089@student.monash.edu 33732248
Yeong Shan Yuan syeo0037@student.monash.edu 33948003

Project Goal

This project aims to preserve and promote the linguistic diversity of Malaysia’s Orang Asli communities by creating high-quality, annotated speech datasets for indigenous languages.

Dataset Summary

This dataset contains formal and informal speech in Iban, collected from two main sources:

  1. Iban News Speech – extracted from formal radio broadcasts.

    • Source: GitHub Repository by Sarah Juan
    • Contributors: Sarah Samson Juan & Laurent Besacier
    • Description: Formal Iban speech recorded from RTM Sarawak news programs.

  2. Kalaka Speech Data – gathered via community engagement and documentation efforts.

    • Source: Kalaka Website by UNIMAS
    • Contributors: Sarah Samson Juan & Laurent Besacier
    • Description: Informal, conversational Iban speech recorded during fieldwork and public interviews.

Dataset Structure

Feature Description
file_name Normalized filename
text Transcribed text in native language
audio Audio recordings sampled at 16 kHz
source Recording source (news, conversational)

Volunteers

The annotation and verification process involved student and community volunteers who contributed their time to ensure transcription accuracy and cultural authenticity.

Acknowledgements

We extend our gratitude to:

  • Sarah Samson Juan and Laurent Besacier for the original Iban data collection.
  • Universiti Malaysia Sarawak (UNIMAS) for access to the Kalaka speech database.
  • All student volunteers who contributed to data annotation and cleaning.
  • Dr. Soon Lay Ki for supervision and continuous guidance throughout the project.

Researchers and developers are encouraged to use this dataset for creating inclusive language technologies and to contribute back to community-centered language preservation initiatives.

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