关键词: 短句对齐, 最大熵模型, BP神经网络, 《史记》

Abstract: Clauses are aligned for Shi Ji ancient and modern parallel corpora using maximum entropy model and Back Propagation neural network model. Maximum entropy model combines clause length, clause alignment mode with co-occurring Chinese word feature. Back Propagation neural network model combines clause length, clause position with co-occurring Chinese word feature. The precision and the recall rate of clause alignment are highest when it uses the three features for maximum entropy model. The precision and the recall rate of maximum entropy model are higher than those of Back Propagation neural network model.

Key words: clause alignment, maximum entropy model, Back Propagation neural network model, Records of the Grand Historian（Shi Ji）