Search papers, labs, and topics across Lattice.
3
0
4
2
Continual pre-training on a related language can dramatically enhance ASR performance in low-resource languages like Dhivehi, achieving a 13.50% reduction in WER.
Proprietary language models trounce open-source alternatives by 3-6x on a new, large-scale corpus of Sinhala and Pali Buddhist texts.
A new, large-scale diachronic corpus for Sinhala, SiDiaC-v.2.0, offers a crucial resource for NLP research on this low-resource language, enabling studies of linguistic change and historical text analysis.
