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papersTODAY 04:00 UTC

Study examines domain-specific pretraining effects on Arabic-English code-switching models

A new arXiv paper looks at how a model's pretraining domain profile affects Transformer performance on digital pragmatics in Arabic-English code-switched text. It compares MARBERT and XLM-R against a general-purpose BERT baseline. The work focuses on whether domain-targeted pretraining yields better results for this kind of mixed-language discourse.

BERTMARBERTXLM-Rcode-switchingdigital pragmaticsdomain-specific pretraining

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