A linguist analyzes a specialized corpus of historical scientific texts with inconsistent spelling. Which process MOST accurately identifies related terms despite orthographic variations, considering the computational expense?

💡 Explanation

Fuzzy string matching identifies similar terms even with spelling variations by calculating the edit distance between strings; therefore, this allows for matching 'chemicall' and 'chemical'. Direct string matching would fail because it requires exact matches, rather than accounting for slight variations.

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