Title :
Semantic grammar and its application to machine translation
Author :
Yujian, Li ; Yixin, Zhong
Author_Institution :
Res. Center of Intelligence, Beijing Univ. of Posts & Telecommun., China
Abstract :
This paper presents a promising approach to design a machine translation system based on semantic grammar. A universal algorithm has been implemented for matching and replacing any templates that work as semantic grammar rules. Several examples are given to demonstrate how our MT system works. It is indicated that a statistical method can be used to further improve the accuracy of our system
Keywords :
computational linguistics; grammars; language translation; design; machine translation; semantic grammar; statistical method; statistical optimization; templates; universal algorithm; Books; Machine intelligence; Natural languages; Production; Samarium; Tin;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.891787
