| ID | 原文 | 译文 |
| 1063 | 在二极管反向阻断的作用下，变压器的磁化电流无法形成稳态环流，从而使变压器中的能量全部向负载转移， | Under the effect of diode reverse blocking, the magnetizing current of the transformer is unable to form a steady state circulation so that all the energy in the transformer istransferred to the load. |
| 1064 | 磁化电流最终变化到零，实现了变压器的去磁复位。 | The magnetizing current changes to zero, which realizes demagnetizing and resetting function of trans-former finally. |
| 1065 | 此外，逆变器的主开关和辅助开关可以分别完成零电压软切换和零电流软切换。 | In addition, the main switch and auxiliary switch of the inverter can achieve zero-voltage soft-switching and ze-ro-current soft-switching respectively. |
| 1066 | 分析了电路的换流过程。 | The article analyzes the commutation process. |
| 1067 | 实验结果表明逆变器的开关器件完成了软切换，变压器磁化电流能减小到零。 | The experimental results show that the switching devices of the inverter have achieved soft switching and the magnetization current of the transformer can reduce to zero. |
| 1068 | 该拓扑结构对于研发高性能谐振极逆变器具有一定的参考价值。 | The topology has a certain reference value for the development of the high-performance resonant pole inverter. |
| 1069 | 为了改善自然语言处理应用中长期存在的主题漂移和词不匹配问题，本文首先提出一种加权项集支持度计算方法和基于项权值排序的剪枝方法， | To ameliorate the long-standing problems of theme drift and word mismatch in natural language processingapplications, this paper first proposes a computing method for weighted itemset support and a pruning method based on itemweight sorting ( IWS) . |
| 1070 | 给出面向查询扩展的基于项权值排序的加权关联规则挖掘算法，讨论关联规则混合扩展、后件扩展和前件扩展模型， | And then, a weighted association rule mining algorithm for query expansion is presented based on theIWS, and the models such as association rule antecedent and consequent hybrid expansion ( RACHE) , rule consequent ex-pansion ( RCE) along with rule antecedent expansion ( RAE) are discussed. |
| 1071 | 最后提出基于项权值排序挖掘的跨语言查询扩展算法。 | Finally, an algorithm of cross-language queryexpansion ( CLQE) is put forward based on the IWS mining. |
| 1072 | 该算法采用新的支持度和剪枝策略挖掘加权关联规则，根据扩展模型从规则中提取高质量扩展词实现跨语言查询扩展。 | The algorithm utilized the new support and the pruning method to mine the weighted association rules, and extracted high quality expansion terms from the rules according to the expansion models in order to carry out CLQE. |