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Tibetan is a language with very flexible word order. Current research such as Tibetan lexical analysis and syntactic analysis cannot meet the needs of Tibetan natural language understanding. Based on the simple sentence pattern of Tibetan sentences, we study the semantic dependence of Tibetan based on projection, construct a Tibetan semantic dependency tree library, and design a semantic dependency arc type analysis feature template. Finally, the semantically dependent arc sentences of the artificial analysis are analyzed and labeled through the maximument ropy classification model, which provides a new perspective and sound theoretical support for future semantic dependence analysis. [ABSTRACT FROM AUTHOR]

Aiming at the word formation rules of Tibetan numerals, the paper deeply analyzes and determines the structure of Arabic numerals and Tibetan numerals composition. Based on the deterministic finite state automata, werealize the automatic translation between Tibetan numerals and Arabic numerals. Based on the principle of maximum matching implements, werealize anautomatic complex numerals translation system. Experimental verification shows thatthe F value can reach 98. 02%. [ABSTRACT FROM AUTHOR]