An Enhanced Algorithm for Matching Arabic Names Entered by Mobile Phones
| Autor: | Sarah Abdulmalik, Salah Al-Hagree, Maher Al-Sanabani, Muneer Alsurori |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
050210 logistics & transportation
Focus (computing) Matching (statistics) Computer science Arabic 05 social sciences 02 engineering and technology Levenshtein distance Field (computer science) language.human_language Mobile phone 0502 economics and business 0202 electrical engineering electronic engineering information engineering language 020201 artificial intelligence & image processing Algorithm |
| Zdroj: | 2019 First International Conference of Intelligent Computing and Engineering (ICOICE). |
| DOI: | 10.1109/icoice48418.2019.9035148 |
| Popis: | The field of matching Arabic names is a serious challenge when dealing with medical data, especially in decision making through social networking programs while using the mobile phone. Although many algorithms have been proposed in matching Arabic names, most studies focus on errors introduced by computers through the keyboard. To our knowledge, there is no study on matching the Arabic names entered by mobile phones. So in this work, we propose a new algorithm based on the convergence and spacing between the Arabic characters in the keyboard of the mobile phone. The experimental results show that the proposed algorithm give more accurate results than the levenshtein algorithm. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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