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A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation. (arXiv:2205.02022v1 [cs.CL])
May 5, 2022, 1:11 a.m. | David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, Julia Kreutzer, Xiaoyu Shen, Machel Reid, Dana Ruiter, Dietrich Klakow, Peter Nabende, E
cs.CL updates on arXiv.org arxiv.org
Recent advances in the pre-training of language models leverage large-scale
datasets to create multilingual models. However, low-resource languages are
mostly left out in these datasets. This is primarily because many widely spoken
languages are not well represented on the web and therefore excluded from the
large-scale crawls used to create datasets. Furthermore, downstream users of
these models are restricted to the selection of languages originally chosen for
pre-training. This work investigates how to optimally leverage existing
pre-trained models to create …
More from arxiv.org / cs.CL updates on arXiv.org
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