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When Tokenizers Fail: Byte-Level Chunking for Zero-Shot Transfer to Low-Resource Languages
Subword tokenization hinders low-resource language processing by imposing frequency patterns from dominant languages onto script-sharing variants. Byte-level models bypass this issue by processing raw UTF-8 characters, yet they create a granularity mismatch for word-level tasks in non-Latin scripts.
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