Tag: low-resource languages

Researchers in Pune have developed a pose-enhanced generative adversarial network that translates Marathi text into fluent Indian Sign Language gloss ...

Researchers have built an anti-interference machine translation model that combines translation-training corpora, adversarial noise injection, and functional equivalence constraints to ...

Researchers in Bangladesh have released a 20,000-comment dataset for detecting religious aggression in Bangla and shown that a lexicon-boosted XGBoost ...

Researchers at Bahir Dar University have built an ensemble lip-reading model for Amharic that combines Gabor filters, Capsule Networks, and ...

A new survey maps how large language models and vision-language models are enabling gloss-free sign language translation to break communication ...

Researchers report the first trained stance-detection models and benchmark for Sorani Kurdish, using data augmentation and QLoRA fine-tuning of KuBERT ...

Researchers at Somali National University have built a retrieval-augmented generation prototype that translates Somali symptom questions into evidence-grounded, page-cited medical ...

A new unsupervised framework transfers part-of-speech annotations to low-resource languages using machine-generated pseudo-parallel data instead of real parallel corpora.

A University of Turku study found ChatGPT-4o, guided by a retrieval-augmented grading framework, matched human examiners' official scores on Finland's ...