Tag: low-resource languages

An ensemble of machine learning models detected suicidal ideation in Amharic social media posts with up to 83.3 percent accuracy, ...

Researchers fine-tuned an English-trained FastSpeech 2 model with explicit phoneme-tone encoding to synthesize tonally accurate Yorùbá speech from just six ...

A controlled adaptation campaign for Modern Standard Arabic speech synthesis finds that synthetic diacritization, punctuation-guided length rescue, and longer training ...

A new study shows that synthetic speech generated by large language models significantly improves speech recognition for low-resource Estonian and ...

Kazakh researchers fine-tuned a multilingual sentence transformer with a staged contrastive objective on a trilingual paraphrase corpus, improving skill-concept matching ...

Researchers at Xizang University fine-tuned the DeepSeek-R1 reasoning model into DeepSeek-R1-Tibet, which outperformed CINO, mBERT, and TisBERT at inferring missing ...

Researchers fine-tuned a multilingual neural TTS model on 30.5 hours of Southern Quechua speech and achieved real-time synthesis directly on ...

A new review finds that Bangla medical question answering lags far behind English systems due to dataset scarcity, translated corpora, ...

A new framework combining policy gradient adversarial networks with MMD-guided sample transfer lifts machine translation BLEU scores to 39.5 and ...

Researchers have built a hierarchical attention network that detects fake news in English, Hindi, and Marathi, reaching 98.9 percent accuracy ...