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Automatic Question Translation Based on Semantic Pattern

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.