A New Algorithm for Component Decomposition and Type Recognition of Tibetan Syllable

摘要

In this paper, aiming at the problems including but not limited to Tibetan sorting, Tibetan syllable component attribute statistics, Tibetan speech recognition in the application field of component recognition of Tibetan syllable, we propose a new algorithm for component decomposition and type recognition of Tibetan syllable based on TSRM (Tibetan Syllable Rule Model). Experimental results on mixed-arranged complex Tibetan texts show that our newly proposed algorithm can achieve a score around 90% both accuracy rate and recall rate for Component Decomposition and Type Recognition of Tibetan Syllable.