Enhancing and applying Daitch-Mokotoff Soundex Algorithm on ethnic names
The study examines how the Daitch-Mokotoff Soundex Algorithm can handle names from different cultures, such as Nigerian, Hindu, and Urdu. It shows how the algorithm helps compare and search names, even with language barriers. The paper explains how modifying the algorithm works well with diverse nam...
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| Format: | Internet publication |
| Language: | English |
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2024
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| Summary: | The study examines how the Daitch-Mokotoff Soundex Algorithm can handle names from different cultures, such as Nigerian, Hindu, and Urdu. It shows how the algorithm helps compare and search names, even with language barriers. The paper explains how modifying the algorithm works well with diverse name structures and pronunciations. Thorough research and practical applications make this study valuable, bridging the gap between the algorithm and these distinct cultures. It reveals this powerful tool's potential in improving name-matching precision. The study evaluates the algorithm's performance and accuracy in detail. It contributes significantly to the discourse on multicultural data processing algorithms. The study offers insights into the algorithm's adaptability to various languages and phonetic systems. Ultimately, it showcases the Daitch-Mokotoff Soundex Algorithm as a powerful tool in the multicultural digital era. |
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