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    Phonetic-based keyboard mapping for Tigrigna language

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    Thesis (2.910Mb)
    Date
    2014
    Author
    Okbeab, Tewelde Yohannes
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    Abstract
    In today`s world, technology is changing lives across the world. As a result, millions of people are living in the information age and they derive great benefits from the use of their native languages. Unfortunately, people of Eritrea and entire Ethiopia face a myriad of challenges mostly derived from their writing system which consists of a large number of characters that are not fully supported on all operating systems. Currently, all operating systems come without standard Input Method Editor for Tigrigna writing and no input method solution and standard keyboard layout for Tigrigna writing system has existed so far. Therefore, the objective of this thesis was to design Phonetic-based keyboard mapping algorithm and keyboard layout for Tigrigna. Designing such an algorithm and a corresponding keyboard layout, however, requires scholarly investigation of challenges that are associated with Tigrigna scripts and immediate solution for a number of technical challenges like mapping about 300 characters onto the limited number of keys on standard keyboard, character entry speed and easiness to use among others. This study proposed an algorithm that used Phonetic-based keyboard mapping technique, highest frequency among Tigrigna order forms, and syllable matrix of Tigrigna scripts arrangement. The designed algorithm and keyboard layout was implemented and tested by developing JavaScript Tigrigna Input Method Editor. Finally a comparison test among the developed Editor, Google IME and Microsoft IME was done to measure the efficiency and effectiveness of the newly designed algorithm when compared with these pre-existing IMEs. The test results showed that; the new Editor gives the fastest typing speed with minimum key combinations and errors free. Therefore, for Tigrigna language, Phonetic based keyboard mapping is more efficient compared other keyboard mapping techniques.
    URI
    http://hdl.handle.net/11071/2337
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    • MSIT Theses and Dissertations (2014) [25]

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