ID	原文	译文
2273	传统相控阵雷达中的调度算法难以充分发挥数字阵列雷达的多功能优势。	Traditional scheduling algorithms in the phased array radar cannot be utilized to fully release multi-functionpotential of digital array radar.
2274	针对这一问题，结合数字阵列雷达的任务结构，提出一种在线交错调度算法。	Aiming at this problem, an online interleaving scheduling algorithm is proposed on the basis of the task internal structure.
2275	通过将交错调度分析分解为时间资源约束分析和能量资源约束分析，算法能够对所有满足约束的任务进行交错调度:	By decomposing the interleaving scheduling analysis into the time resource constraint analysis and the energy resource constraint analysis, the algorithm is able to interleave all kinds of tasks as far as they meet the re-source constraints.
2276	利用任务中的等待期来交错执行其它任务的发射期或接收期，并且不同任务的接收期可实现相互交叠。	Thereby not only the waiting duration is utilized to execute other task's transmitting duration or receiving duration, but also receiving durations of different tasks are able to be overlapped.
2277	仿真结果表明，由于雷达任务中等待期和接收期得到充分利用，相比于三种传统的调度算法，所提算法的调度成功率、实现价值率和时间利用率均得到有效提升。	The simulation results show that, due to the efficient usage of the waiting duration and the receiving duration, the proposed algorithm effectively improves the successful scheduling ratio, the high value ratio and the time utilization ratio compared with the three existing algorithms.
2278	短文本相似度计算在社会网络、文本挖掘和自然语言处理等领域中起着至关重要的作用。	Text similarity measures play a vital role in text related applications in tasks such as social networks, text mining, natural language processing, and others.
2279	针对短文本内容简短、特征稀疏等特点，以及传统的短文本相似度计算忽略类别信息等问题，提出一种融合耦合距离区分度和强类别特征的短文本相似度计算方法。	The typical characteristics of short texts demonstrate severe sparseness and high dimension while the traditional short texts similarity calculation always ignores category information. A coupled distance discrimination and strong classification features based approach for short text similarity calculation, CDDCF, is presented.
2280	一方面，在整个短文本语料库中利用两个共现词之间的距离计算词项共现距离相关度，并以此来对词项加权从而捕获词项间内联和外联关系，得到短文本的耦合距离区分度相似度;	On the one hand, co-occurrence distance between terms are considered in each text to determine the co-occurrence distance cor-relation, based on which the weight for each term can be determined and the intra and inter relations between words are es-tablished. The similarity of coupling distance discrimination on short text can be captured.
2281	另一方面，基于少量带类别标签的监督数据提取每类中强类别区分能力的特征项作为强类别特征集合，并利用词项的上下文来对强类别特征语义消歧，然后基于文本间包含相同类别的强类别特征数量来衡量文本间的相似度。	On the other hand, strong classifi-cation features are extracted via labeled texts. The similarity between two short texts is measured by using the common num-ber of strong discrimination features with the same context.
2282	最后，本文结合耦合距离区分度和强类别特征来衡量短文本的相似度。	Finally, the distance discrimination and strong classification fea-tures are unified into a joint framework to measure the similarity of short texts.