Algorithms for Arabic name transliteration
IBM Journal of Research and Development
An HMM approach to vowel restoration in Arabic and Hebrew
SEMITIC '02 Proceedings of the ACL-02 workshop on Computational approaches to semitic languages
A joint source-channel model for machine transliteration
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Punjabi machine transliteration
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Transliteration for Resource-Scarce Languages
ACM Transactions on Asian Language Information Processing (TALIP)
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The existence of two scripts for Punjabi language has created a script barrier between the Punjabi literature written in India and Pakistan. This research has developed a new system for the first time of its kind for Shahmukhi text without diacritical marks. The purposed system for Shahmukhi to Gurmukhi transliteration has been implemented with various research techniques based on language corpus. The corpus analysis of both scripts is performed for generating statistical data of different types like character and word frequencies and bi-gram frequencies. This statistical analysis is used in different phases of transliteration. Potentially, all members of the substantial Punjabi community will benefit vastly from this transliteration system.