2 papers
cs.CL2026
MUDIDI: A Two-Stage Framework for Multilingual Dictionary Digitization with Language Models
David Setiawan, Temuulen Khishigsuren, Milind Agarwal +3
Multilingual dictionaries are among the most valuable documentary resources for low-resource and endangered languages, yet many remain available only as scans. For many decades, th…
cs.CL2026
Context Volume Drives Performance: Tackling Domain Shift in Extremely Low-Resource Translation via RAG
David Samuel Setiawan, Raphaël Merx, Jey Han Lau
Neural Machine Translation (NMT) models for low-resource languages suffer significant performance degradation under domain shift. We quantify this challenge using Dhao, an indigeno…