| Popis: |
In the current period of extensive globalization where people all over the globe are beginning to have access to Internet and information, software companies and major tech conglomerates and starting to look forward to localization and internationalization (i18n) to better acclimatize their material to the local populace for their better understanding. In this scenario, the young and upcoming demographic of India possesses a limitless potential for development on both the local and international levels. In such cases, we need to have to create a cohesive structure where we can sort and match the different components of a local language to its correct set, according to a pre-governed paradigm where the possibility of error is reduced through a preset database containing a large number of entries to match from. In this research work, we have used the Soundex algorithm to match similar-sounding words from an user’s entry to the entries in the database. We have started with Hindi names which are entered in a form and then matched to their respective Soundex codes in the database, thus generating a correct match. |
