Title :
Automatic Question Translation Based on Semantic Pattern
Author :
Hao, Tianyong ; Wenyin, Liu
Author_Institution :
Dept. of Comput. Sci., City Univ. of Hong Kong, Hong Kong
Abstract :
An automatic method for question translation based on semantic pattern is proposed in this paper, in which structure analysis, pattern matching and word sense selection are three important steps. An evaluation method is also presented to calculate the similarities between the original words and the generated words to obtain better semantic translation. Experiments with 500 questions show that 91.3% translated questions are satisfactory.
Keywords :
language translation; semantic Web; automatic question translation; pattern matching; semantic pattern; structure analysis; word sense selection; Computer science; Databases; Filters; Flowcharts; Humans; Keyword search; Natural languages; Pattern analysis; Pattern matching; Testing;
Conference_Titel :
Semantics, Knowledge and Grid, 2008. SKG '08. Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3401-5
Electronic_ISBN :
978-0-7695-3401-5
DOI :
10.1109/SKG.2008.34