141 citations · 150 across the 4 of their papers we have counts for
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cs.CL2021★ 7 cited
Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialects
Go Inoue, Salam Khalifa, Nizar Habash
We present state-of-the-art results on morphosyntactic tagging across different varieties of Arabic using fine-tuned pre-trained transformer language models. Our models consistentl…
cs.CL2021★ 141 cited
The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models
Go Inoue, Bashar Alhafni, Nurpeiis Baimukan +2
In this paper, we explore the effects of language variants, data sizes, and fine-tuning task types in Arabic pre-trained language models. To do so, we build three pre-trained langu…