DocumentCode
2041197
Title
Evaluation of generality of inductive learning for preprocessing in machine translation
Author
Nagashima, Yasuto ; Araki, Kenji ; Tochinai, Koji
Author_Institution
Div. of Electron. & Inf. Eng., Hokkaido Univ., Sapporo, Japan
Volume
2
fYear
2001
fDate
2001
Firstpage
921
Abstract
There are many machine translation systems recently. However, the results of these machine translation systems include various errors on a selection of translated word, a dependency relation and so on. The purpose of our research is to correct these errors automatically and improve the translation accuracy by preprocessing. This paper presents a method for preprocessing in machine translation system using inductive learning and results of evaluation experiment
Keywords
language translation; learning by example; dependency relation; inductive learning; machine translation; Dictionaries; Error analysis; Error correction; Information analysis; Machine learning; Negative feedback;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location
Tucson, AZ
ISSN
1062-922X
Print_ISBN
0-7803-7087-2
Type
conf
DOI
10.1109/ICSMC.2001.973035
Filename
973035
Link To Document