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This paper investigates how multilingual tokenizers handle cross-lingual homographs (identical surface forms with different meanings across languages) and proposes a lightweight language-cue intervention that introduces language-specific characters to reduce token sharing. Experiments show modest improvements in machine translation, particularly with BPE tokenization.