code-switching

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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.

arxiv/multilingual/code-switching/pretraining

papersSEP 12 04:00 UTC

Switch-Aware Evaluation of ASR and Audio Language Models on English-Yoruba Code-Switched Speech

A new arXiv preprint argues that word error rate alone hides important failures when speech recognition systems and audio language models handle code-switched speech. The authors propose an evaluation method that accounts for language switches, and apply it to English-Yoruba audio, a low-resource pair with diacritics. They find that strong monolingual benchmark scores do not carry over to this setting.

speech/benchmarks/multilingual/low-resource