2 papers
cs.CL2026
A framework for analyzing concept representations in neural models
Burin Naowarat, Hao Tang, Sharon Goldwater
Understanding how neural models represent human-interpretable concepts is challenging. Prior work has explored linear concept subspaces from diverse perspectives, such as probing a…
eess.AS2020
Reducing Spelling Inconsistencies in Code-Switching ASR using Contextualized CTC Loss
Burin Naowarat, Thananchai Kongthaworn, Korrawe Karunratanakul +2
Code-Switching (CS) remains a challenge for Automatic Speech Recognition (ASR), especially character-based models. With the combined choice of characters from multiple languages, t…