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Tokenize English and French deliberately

Tokenization determines the units a model receives. Compare how a method handles punctuation, accents, contractions and words it has rarely seen.

Natural language processing learning and planning

Inspect the output

Run representative examples through the tokenizer and examine the resulting units. Changes in spelling or punctuation can affect sequence length and downstream behaviour.

Match the model

Use the tokenizer expected by the model rather than swapping components casually. Record the version and any normalisation applied before tokenization.

Test both languages

Evaluate English and French inputs independently, including accented characters and mixed-language passages. Keep the original text available when transformations would remove information needed for review.

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