| Autor: |
Amit Kumar Das, Monira Mukta, Md. Mosabbir Hossain, Md. Farhan Labib, Ahmed Sady Rifat |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
2019 7th International Conference on Smart Computing & Communications (ICSCC). |
| DOI: |
10.1109/icscc.2019.8843613 |
| Popis: |
The automated transliteration process is a function or software application that checks words against a computerized corpus to ensure that they are correct. A transliteration system is required either during the typing of text or when a user does not know the correct spelling of a word. The main objective of this research is to develop a system that is much better to check the spelling of the transliterated word by calculating Levenshtein distance. To make the mechanism more efficient and accurate unigram method has been implemented. Several techniques have been integrated for data collection to make the system more reliable and flexible. Almost twenty thousand words are included to create a data lexicon for this research work. This system is able to deal with signed or unsigned numeric values and float numbers with 78.13% accuracy. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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