7 papers
myMediWhisper: Construction of Burmese Medical Speech Corpus and Whisper Fine-Tuning for Clinical Dialogue ASR
Ye Kyaw Thu, Ye Bhone Lin, Thura Aung +6
Although Whisper models benefit from large-scale multilingual pre-training, their performance on Burmese medical speech remains limited. This work presents a Burmese medical speech…
BURMESE-SAN: Burmese NLP Benchmark for Evaluating Large Language Models
Thura Aung, Jann Railey Montalan, Jian Gang Ngui +1
We introduce BURMESE-SAN, the first holistic benchmark that systematically evaluates large language models (LLMs) for Burmese across three core NLP competencies: understanding (NLU…
SEA-BED: How Do Embedding Models Represent Southeast Asian Languages?
Wuttikorn Ponwitayarat, Peerat Limkonchotiwat, Raymond Ng +9
Multilingual text embeddings are often assumed to encode meaning in a perspective-independent semantic space, yielding stable similarity judgments across tasks and languages. Our r…
ASR Error Correction in Low-Resource Burmese with Alignment-Enhanced Transformers using Phonetic Features
Ye Bhone Lin, Thura Aung, Ye Kyaw Thu +1
This paper investigates sequence-to-sequence Transformer models for automatic speech recognition (ASR) error correction in low-resource Burmese, focusing on different feature integ…
Enhancing Burmese News Classification with Kolmogorov-Arnold Network Head Fine-tuning
Thura Aung, Eaint Kay Khaing Kyaw, Ye Kyaw Thu +2
In low-resource languages like Burmese, classification tasks often fine-tune only the final classification layer, keeping pre-trained encoder weights frozen. While Multi-Layer Perc…
KAConvText: Novel Approach to Burmese Sentence Classification using Kolmogorov-Arnold Convolution
Ye Kyaw Thu, Thura Aung, Thazin Myint Oo +1
This paper presents the first application of Kolmogorov-Arnold Convolution for Text (KAConvText) in sentence classification, addressing three tasks: imbalanced binary hate speech d…