The invention provides a participle-network-based word alignment fusion method for computer-aided Chinese-to-English translation. The method comprises the following steps of: 1, determining skeleton alignment: searching and selecting an optimal skeleton connection by using a connection-confidence-based connection selection algorithm, and forming the skeleton alignment; and 2, projecting the selected skeleton alignment to each participle to obtain various-participle-based word alignment. By the method, the conventional single-participle-based word alignment algorithm is improved, and the word alignment quality of each participle and the machine translation quality can be simultaneously improved. By fusing the characteristics for the word alignment under multiple participles, the final word alignment is more robust, and the number of word alignment errors affected by participle errors or bilingual participle inconsistency can be reduced.