JavaneseHonorifics/Unggah-Ungguh-Javanese-Distilbert-Classifier
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https://javanesehonorifics.github.io/\nPaper: https://aclanthology.org/2025.acl-long.1296.pdf \nRepository: https://github.com/JavaneseHonorifics \nVenue: ACL 2025 Main Conference \n\n
Citation
\n@inproceedings{farhansyah-etal-2025-language,\n title = \"Do Language Models Understand Honorific Systems in {J}avanese?\",\n author = \"Farhansyah, Mohammad Rifqi and\n Darmawan, Iwan and\n Kusumawardhana, Adryan and\n Winata, Genta Indra and\n Aji, Alham Fikri and\n Wijaya, Derry Tanti\",\n editor = \"Che, Wanxiang and\n Nabende, Joyce and\n Shutova, Ekaterina and\n Pilehvar, Mohammad Taher\",\n booktitle = \"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)\",\n month = jul,\n year = \"2025\",\n address = \"Vienna, Austria\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2025.acl-long.1296/\",\n doi = \"10.18653/v1/2025.acl-long.1296\",\n pages = \"26732--26754\",\n ISBN = \"979-8-89176-251-0\",\n abstract = \"The Javanese language features a complex system of honorifics that vary according to the social status of the speaker, listener, and referent. Despite its cultural and linguistic significance, there has been limited progress in developing a comprehensive corpus to capture these variations for natural language processing (NLP) tasks. In this paper, we present Unggah-Ungguh, a carefully curated dataset designed to encapsulate the nuances of Unggah-Ungguh Basa, the Javanese speech etiquette framework that dictates the choice of words and phrases based on social hierarchy and context. Using Unggah-Ungguh, we assess the ability of language models (LMs) to process various levels of Javanese honorifics through classification and machine translation tasks. To further evaluate cross-lingual LMs, we conduct machine translation experiments between Javanese (at specific honorific levels) and Indonesian. Additionally, we explore whether LMs can generate contextually appropriate Javanese honorifics in conversation tasks, where the honorific usage should align with the social role and contextual cues. Our findings indicate that current LMs struggle with most honorific levels, exhibiting a bias toward certain honorific tiers.\"\n}\nAI & ML interests
Low Resource Languages
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Javanese Honorifics (Unggah-Ungguh v1.0)
The Javanese language, spoken by over 98 million people, features a distinctive honorific system known as Unggah-Ungguh Basa. We present UNGGAH-UNGGUH, a carefully curated dataset designed to encapsulate the nuances of Unggah-Ungguh Basa, the Javanese speech etiquette framework that dictates the choice of words and phrases based on social hierarchy and context.
- Project Page: https://javanesehonorifics.github.io/
- Paper: https://aclanthology.org/2025.acl-long.1296.pdf
- Repository: https://github.com/JavaneseHonorifics
- Venue: ACL 2025 Main Conference
Citation
@inproceedings{farhansyah-etal-2025-language,
title = "Do Language Models Understand Honorific Systems in {J}avanese?",
author = "Farhansyah, Mohammad Rifqi and
Darmawan, Iwan and
Kusumawardhana, Adryan and
Winata, Genta Indra and
Aji, Alham Fikri and
Wijaya, Derry Tanti",
editor = "Che, Wanxiang and
Nabende, Joyce and
Shutova, Ekaterina and
Pilehvar, Mohammad Taher",
booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.acl-long.1296/",
doi = "10.18653/v1/2025.acl-long.1296",
pages = "26732--26754",
ISBN = "979-8-89176-251-0",
abstract = "The Javanese language features a complex system of honorifics that vary according to the social status of the speaker, listener, and referent. Despite its cultural and linguistic significance, there has been limited progress in developing a comprehensive corpus to capture these variations for natural language processing (NLP) tasks. In this paper, we present Unggah-Ungguh, a carefully curated dataset designed to encapsulate the nuances of Unggah-Ungguh Basa, the Javanese speech etiquette framework that dictates the choice of words and phrases based on social hierarchy and context. Using Unggah-Ungguh, we assess the ability of language models (LMs) to process various levels of Javanese honorifics through classification and machine translation tasks. To further evaluate cross-lingual LMs, we conduct machine translation experiments between Javanese (at specific honorific levels) and Indonesian. Additionally, we explore whether LMs can generate contextually appropriate Javanese honorifics in conversation tasks, where the honorific usage should align with the social role and contextual cues. Our findings indicate that current LMs struggle with most honorific levels, exhibiting a bias toward certain honorific tiers."
}