4 citations · 4 across the 6 of their papers we have counts for
6 papers
Easper: An Accessible ASR Pipeline for Language Documentation
Aso Mahmudi, Ting Dang, Ekaterina Vylomova +1
Audio transcription is a critical bottleneck in language documentation. While multilingual Automatic Speech Recognition (ASR) models like Whisper offer solutions, field linguists o…
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…
CommonMorph: Participatory Morphological Documentation Platform
Aso Mahmudi, Sina Ahmadi, Kemal Kurniawan +3
Collecting and annotating morphological data present significant challenges, requiring linguistic expertise, methodological rigour, and substantial resources. These barriers are pa…
Continual Adaptation for Pacific Indigenous Speech Recognition
Yang Xiao, Aso Mahmudi, Nick Thieberger +3
Speech foundation models struggle with low-resource Pacific Indigenous languages because of severe data scarcity. Furthermore, full fine-tuning risks catastrophic forgetting. To ad…
Can a Neural Model Guide Fieldwork? A Case Study on Morphological Data Collection
Aso Mahmudi, Borja Herce, Demian Inostroza Amestica +3
Linguistic fieldwork is an important component in language documentation and preservation. However, it is a long, exhaustive, and time-consuming process. This paper presents a nove…
Low-Resource Machine Translation through Retrieval-Augmented LLM Prompting: A Study on the Mambai Language
Raphaël Merx, Aso Mahmudi, Katrina Langford +2
This study explores the use of large language models (LLMs) for translating English into Mambai, a low-resource Austronesian language spoken in Timor-Leste, with approximately 200,…