Why does grapheme-to-phoneme conversion accuracy vary significantly across different writing systems when using statistical machine translation?

💡 Explanation

Orthographic depth, the consistency of grapheme-phoneme correspondence, mediates how effectively statistical inference works, because shallow orthographies allow more direct mapping. Therefore, systems with deep orthographies perform worse rather than performing better due to data sparsity alone.

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