Sentence-level aligned parallel texts are important resources for a number of natural language processing (NLP) tasks and applications such as statistical machine translation and cross-language information retrieval. ...
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Sentence-level aligned parallel texts are important resources for a number of natural language processing (NLP) tasks and applications such as statistical machine translation and cross-language information retrieval. With the rapid growth of online parallel texts, efficient and robust sentence alignment algorithms become increasingly important. In this paper, we propose a fast and robust sentence alignment algorithm, i.e., Fast- Champollion, which employs a combination of both length-based and lexiconbased algorithm. By optimizing the process of splitting the input bilingual texts into small fragments for alignment, Fast- Champollion, as our extensive experiments show, is 4.0 to 5.1 times as fast as the current baseline methods such as Champollion (Ma, 2006) on short texts and achieves about 39.4 times as fast on long texts, and Fast-Champollion is as robust as Champollion.
The primary aim of identifying the binding motifs in gene regulation is to understand the transcriptional regulation molecular mechanism systematically. In this study, the (, d) motif search issue was considered ...
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This paper studies the problem of selecting queries to efficiently crawl a deep web data source using a set of sample documents. Crawling deep web is the process of collecting data from search interfaces by issuing qu...
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Predicting the future trajectory of multi-agent in dynamic scenarios is a crucial part of autonomous driving. Despite fruitful progress, existing methods still suffer from immatu-rity in tackling social interaction mo...
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The increasing demand of various networking applications such as Internet, voice, data, video and TV services inside large cities with large population requires the design and implementation of more effective metropol...
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Several instances of pneumonia with no clear etiology were recorded in Wuhan,China,on December 31,*** world health organization(WHO)called it COVID-19 that stands for“Coronavirus Disease 2019,”which is the second ve...
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Several instances of pneumonia with no clear etiology were recorded in Wuhan,China,on December 31,*** world health organization(WHO)called it COVID-19 that stands for“Coronavirus Disease 2019,”which is the second version of the previously known severe acute respiratory syndrome(SARS)Coronavirus and identified in short as(SARSCoV-2).There have been regular restrictions to avoid the infection spread in all countries,including Saudi *** prediction of new cases of infections is crucial for authorities to get ready for early handling of the virus ***:Analysis and forecasting of epidemic patterns in new SARSCoV-2 positive patients are presented in this research using metaheuristic optimization and long short-term memory(LSTM).The optimization method employed for optimizing the parameters of LSTM is Al-Biruni Earth Radius(BER)***:To evaluate the effectiveness of the proposed methodology,a dataset is collected based on the recorded cases in Saudi Arabia between March 7^(th),2020 and July 13^(th),*** addition,six regression models were included in the conducted experiments to show the effectiveness and superiority of the proposed *** achieved results show that the proposed approach could reduce the mean square error(MSE),mean absolute error(MAE),and R^(2)by 5.92%,3.66%,and 39.44%,respectively,when compared with the six base *** the other hand,a statistical analysis is performed to measure the significance of the proposed ***:The achieved results confirm the effectiveness,superiority,and significance of the proposed approach in predicting the infection cases of COVID-19.
The need for survivability in optical networks is becoming more and more important because of the huge amount of aggregated traffic that is carried in an optical network. A number of protection schemes have been propo...
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Key management in wireless sensor networks (WSN) is a challenging problem because of the limited resources of sensor nodes and their vulnerability against physical attacks. In this paper, we present a Two Level Archit...
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In Mixed-Initiative Co-Creative tools, the human is mostly in control of what will and can be created, delegating the AI to a more suggestive role instead of a colleague in the co-creative process. Allowing more contr...
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Stack Overflow (SO) platform has a huge dataset of questions and answers driven by interactions between users. But the count of unanswered questions is continuously rising, which is observed in various similar communi...
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