关键词: 知识库, 规则, 统计模型, 统计机器翻译, 时间词平行字典

Abstract: Based on the defined knowledge base, the authors presented a Japanese time expression recognition method through combining rules set strengthened by knowledge base with statistical model. In order to increase recognition accuracy, according to the Timex2 standards’ granular classification on time, the knowledge base was progressively expanded and reconstructed given the Japanese time characteristic to achieve rules set optimization and update. Simultaneously, CRF model was fused to enhance the generalization ability of Japanese time expression recognition. The authors studied the time translation accuracy of phrase-based translation model and proved the necessity of combing rules with statistical machine translation (SMT). Experiment results show that the F1 value of Japanese time expression recognition reaches 0.8987 on open test, and both the precision and recall by the method based on rules and parallel dictionary of Japanese to Chinese time expression are a bit higher than those by the method based on statistical translation model.

Key words: knowledge base, rule, statistical model, statistical machine translation, time parallel dictionary