Machine Translation Based on Direct Matching between Text and Pattern

Pattern extracting is one of key techniques in the field of pattern based machine translation. The step of extracting patterns, which influence the results of machine translation, are in low quality owing to the limitation of the technique of linguistic analysis. To avoid the effects, this paper proposes a direct matching model between the text and the pattern which directly matches the sentences and patterns. As shown in the experiment, the performance of pattern based machine translation system is improved by introducing this model.