Papers by Iwan Darmawan

1 papers
Do Language Models Understand Honorific Systems in Javanese? (2025.acl-long)

Copied to clipboard

Challenge: 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.
Approach: They propose to use a dataset to capture the nuances of Unggah-Ungguh Basa, the Javanese speech etiquette framework, to assess the ability of language models to process various levels of Javanesi honorifics.
Outcome: The proposed dataset encapsulates the nuances of Unggah-Ungguh Basa, the Javanese speech etiquette framework.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations