Title :
Machine translation based on templates matching and replacing
Author :
Yujian, Li ; Yixin, Zhong
Author_Institution :
Comput. Inst., Beijing Polytech. Univ., China
Abstract :
The theory of and a universal algorithm for matching and replacing templates with an arbitrary number of invariables (constants) and variables are outlined, and their remarkable advantages and attractive prospects are demonstrated for applications in machine translation. Moreover, it is indicated that the translation quality could be further improved and may theoretically achieve an accuracy of 94% when the universal algorithm is combined with some statistical methods
Keywords :
language translation; statistics; string matching; constants; invariables; machine translation; statistical methods; template matching; template replacement; translation accuracy; translation quality; universal algorithm; variables; Algorithm design and analysis; Books; Concrete; Humans; Libraries; Natural languages; Statistical analysis; Statistics; Telecommunication computing;
Conference_Titel :
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-7087-2
DOI :
10.1109/ICSMC.2001.973037
