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...
| Main Author: | |
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| Format: | Internet publication |
| Language: | English |
| Published: |
2024
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| _version_ | 1797169945463750656 |
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| author | Oketunji, AF |
| author_facet | Oketunji, AF |
| author_sort | Oketunji, AF |
| collection | OXFORD |
| description | 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. |
| first_indexed | 2024-04-23T23:26:59Z |
| format | Internet publication |
| id | oxford-uuid:2ecd2003-6f1e-4da5-8c57-da3ed4a35b47 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-04-23T23:26:59Z |
| publishDate | 2024 |
| record_format | dspace |
| spelling | oxford-uuid:2ecd2003-6f1e-4da5-8c57-da3ed4a35b472024-04-23T08:52:11ZEnhancing and applying Daitch-Mokotoff Soundex Algorithm on ethnic namesInternet publicationhttp://purl.org/coar/resource_type/c_7ad9uuid:2ecd2003-6f1e-4da5-8c57-da3ed4a35b47EnglishSymplectic Elements2024Oketunji, AFThe 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. |
| spellingShingle | Oketunji, AF Enhancing and applying Daitch-Mokotoff Soundex Algorithm on ethnic names |
| title | Enhancing and applying Daitch-Mokotoff Soundex Algorithm on ethnic names |
| title_full | Enhancing and applying Daitch-Mokotoff Soundex Algorithm on ethnic names |
| title_fullStr | Enhancing and applying Daitch-Mokotoff Soundex Algorithm on ethnic names |
| title_full_unstemmed | Enhancing and applying Daitch-Mokotoff Soundex Algorithm on ethnic names |
| title_short | Enhancing and applying Daitch-Mokotoff Soundex Algorithm on ethnic names |
| title_sort | enhancing and applying daitch mokotoff soundex algorithm on ethnic names |
| work_keys_str_mv | AT oketunjiaf enhancingandapplyingdaitchmokotoffsoundexalgorithmonethnicnames |