Democratizing LLMs for low-resource languages by leveraging their english dominant abilities with linguistically-diverse prompts
Large language models (LLMs) are known to effectively perform tasks by simply observing
few exemplars. However, in low-resource languages, obtaining such hand-picked …
few exemplars. However, in low-resource languages, obtaining such hand-picked …
Survey on publicly available sinhala natural language processing tools and research
N De Silva - arXiv preprint arXiv:1906.02358, 2019 - arxiv.org
Sinhala is the native language of the Sinhalese people who make up the largest ethnic
group of Sri Lanka. The language belongs to the globe-spanning language tree, Indo …
group of Sri Lanka. The language belongs to the globe-spanning language tree, Indo …
Refining low-resource unsupervised translation by language disentanglement of multilingual translation model
Numerous recent work on unsupervised machine translation (UMT) implies that competent
unsupervised translations of low-resource and unrelated languages, such as Nepali or …
unsupervised translations of low-resource and unrelated languages, such as Nepali or …
Speech-to-speech Low-resource Translation
Speech-to-speech translation (S2ST), particularly in the context of low-resource languages,
plays a vital role in facilitating global communication. However, comprehensive research in …
plays a vital role in facilitating global communication. However, comprehensive research in …
Improving speech-to-speech translation through unlabeled text
Direct speech-to-speech translation (S2ST) is among the most challenging problems in the
translation paradigm due to the significant scarcity of S2ST data. While effort has been made …
translation paradigm due to the significant scarcity of S2ST data. While effort has been made …
Improving neural machine translation: data centric approaches
XP Nguyen - 2023 - dr.ntu.edu.sg
Neural machine translation (NMT), where neural networks are used to generate translations,
has revolutionized the field of machine translation (MT) in the past ten years, thanks to the …
has revolutionized the field of machine translation (MT) in the past ten years, thanks to the …