DocumentCode
1739659
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
Volume
2
fYear
2000
fDate
2000
Firstpage
1313
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-5747-7
Type
conf
DOI
10.1109/ICOSP.2000.891787
Filename
891787
Link To Document