If a computational lexicographer preferentially extracts dictionary example sentences from a corpus that over-represents a specific demographic subgroup, which consequence follows?

💡 Explanation

The preferential extraction of examples from a non-representative corpus introduces bias via sampling bias, therefore skewed semantic representation occurs, rather than improved accuracy, because the definitions and usage examples reflect the subset, not the population. It is also not enhanced generalizability.

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