· ai
Under-presentation of Swahili in AI tasks
Swahili – An AI & ML Representation Gap The cover image is also under‑represented! Swahili is significantly under‑represented in AI research and applications,...
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- · ai
[Paper] Adapting Large Language Models to Low-Resource Tibetan: A Two-Stage Continual and Supervised Fine-Tuning Study
Adapting large language models (LLMs) to low-resource languages remains a major challenge due to data scarcity and cross-lingual drift. This work presents a two...
- · ai
[Paper] BanglaASTE: A Novel Framework for Aspect-Sentiment-Opinion Extraction in Bangla E-commerce Reviews Using Ensemble Deep Learning
Aspect-Based Sentiment Analysis (ABSA) has emerged as a critical tool for extracting fine-grained sentiment insights from user-generated content, particularly i...
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[Paper] Developing an Open Conversational Speech Corpus for the Isan Language
This paper introduces the development of the first open conversational speech dataset for the Isan language, the most widely spoken regional dialect in Thailand...
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[Paper] ASR Error Correction in Low-Resource Burmese with Alignment-Enhanced Transformers using Phonetic Features
This paper investigates sequence-to-sequence Transformer models for automatic speech recognition (ASR) error correction in low-resource Burmese, focusing on dif...
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[Paper] Enhancing Burmese News Classification with Kolmogorov-Arnold Network Head Fine-tuning
In low-resource languages like Burmese, classification tasks often fine-tune only the final classification layer, keeping pre-trained encoder weights frozen. Wh...