Multilingual AI can look fluent yet miss what makes a language unique when noisy translations overshadow native texts
A post mentioning MameLoshnLM suggests that training data matters beyond surface-level fluency.
TLDR
A post mentioning MameLoshnLM suggests training data may shape how multilingual language models represent a language. It warns that when noisy translations overshadow native texts, models can look fluent while missing what makes that language unique.
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