3 papers
cs.CL2026
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…
cs.CL2026
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…
cs.CL2024
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…