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The DCU-ICTCAS MT system at WMT 2014 on German-english translation task 9

The DCU-ICTCAS MT system at WMT 2014 on German-english trans...

9th Workshop on Statistical Machine Translation, WMT 2014 at the 52nd Conference of the Associationfor Computational Linguistics, ACL 2014

作者： Li, Liangyou Wu, Xiaofeng Cortes Váillo, Santiago Xie, Jun Way, Andy Liu, Qun CNGL Centre for Global Intelligent Content School of Computing Dublin City University Dublin 9 Ireland Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781941643174

This paper describes the DCU submission to WMT 2014 on German-English translation task. Our system uses phrasebased translation model with several popular techniques, including Lexicalized Reordering Model, Operation Sequence Model and Language Model interpolation. Our final submission is the result of system combination on several systems which have different pre-processing and alignments. © Proceedings of the Annual Meeting of the Association for Computational Linguistics 2014.

关键词： Translation (languages)

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Red: Dcu-casict participation in wmt2014 metrics task 9

Red: Dcu-casict participation in wmt2014 metrics task

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9th Workshop on Statistical Machine Translation, WMT 2014 at the 52nd Conference of the Associationfor Computational Linguistics, ACL 2014

作者： Wu, Xiaofeng Yu, Hui Liu, Qun CNGL Centre for Global Intelligent Content School of Computing Dublin City University Dublin 9 Ireland Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781941643174

Based on the last years DCU-CASIST participation on WMT metrics task, we further improve our model in the following ways: 1) parameter tuning 2) support languages other than English. We tuned our system on all the data of WMT 2010, 2012 and 2013. The tuning results as well as the WMT 2014 test results are reported. © Proceedings of the Annual Meeting of the Association for Computational Linguistics 2014.

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Improved low energy adaptive clustering hierarchy protocol based on local centroid bat algorithm

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Sensor Letters 2014年第9期12卷 1372-1377页

作者： Cao, Yang Cui, Zhihua Li, Feixiang Dai, Chaohua Chen, Weirong Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Shanxi China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China School of Electric Engineering Southwest Jiaotong University Sichuan China

Bat algorithm (BA) is a novel intelligent optimization algorithm. In order to improve the poor local search capability of the algorithm, we present a new variant of bat optimization algorithm based on local centroid strategy (LCBA). Meanwhile, LEACH is a low energy adaptive clustering hierarchy algorithm for wireless sensor networks (WSN). And it has many disadvantages such as random selection of cluster head, taking no account of the remaining energy and position of nodes. To solve these problems, this paper proposes an improved LEACH protocol based on local centroid bat algorithm. The improved protocol divides the cluster head selection process into optimization of temporary cluster head and formal cluster head selection. First, we generate temporary cluster heads by traditional LEACH protocol, then optimize these cluster heads based on LCBA and select formal cluster heads according to the remaining energy of nodes. The result of experiment shows that, comparing with LEACH, LEACH-LCBA can balance the network load efficiently, improve the energy utilization, prolong the network lifetime.

关键词： Energy utilization

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Parallel Feature Selection Using Positive Approximation Based on MapReduce

Parallel Feature Selection Using Positive Approximation Base...

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The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

作者： Qing He Zhongzhi Shi Fuzhen Zhuang Xiaohu Cheng The Key Laboratory of Intelligent Information Processing Institute of Computing TechnologyChinese A The Key Laboratory of Intelligent Information Processing Institute of Computing TechnologyChinese A

ISBN: (纸本)9781479951499

Over the last few decades,feature selection has been a hot research area in pattern recognition and machine learning,and many famous feature selection algorithms have been *** them,feature selection using positive approximation(FSPA)is an accelerator for traditional rough set based feature selection algorithms,which can significantly reduce the running ***,FSPA still cannot handle large scale and high dimension dataset due to the memory *** this paper,we propose a parallel implementation of FSPA using MapReduce framework,which is a programming model for processing large scale *** experimental results demonstrate that the proposed algorithm can process large scale and high dimension dataset efficiently on commodity computers.

关键词： Computers Approximation methods Approximation algorithms Algorithm design and analysis Arrays Machine learning algorithms Computational modeling

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An improved correlation method based on rotation invariant feature for automatic particle selection

An improved correlation method based on rotation invariant f...

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10th International Symposium on Bioinformatics Research and Applications, ISBRA 2014

作者： Chen, Yu Ren, Fei Wan, Xiaohua Wang, Xuan Zhang, Fa Key Lab. of Intelligent Information Processing and Advanced Computing Research Lab Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing Beijing China Yanshan University Yanshan China

ISBN: (纸本)9783319081700

Particle selection from cryo-electron microscopy (cryo-EM) images is very important for high-resolution reconstruction of macromolecular structure. However, the accuracy of existing selection methods are normally restricted to noise and low contrast of cryo-EM images. In this paper, we presented an improved correlation method based on rotation invariant features for automatic, fast particle selection. We first selected a preliminary particle set applying rotation invariant features, then filtered the preliminary particle set using correlation to reduce the interference of high noise background and improve the precision of correlation method. We used Divide and Conquer technique and cascade strategy to improve the recognition ability of features and reduce processing time. Experimental results on the benchmark of cryo-EM images show that our method can improve the accuracy of particle selection significantly. © 2014 Springer International Publishing Switzerland.

关键词： Correlation methods

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Estimation of distribution algorithms for knapsack problem

Journal of Software

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Journal of Software 2014年第1期9卷 104-110页

作者： Gao, Shang Qiu, Ling Cao, Cungen School of Computer Science and Technology Jiangsu University of Science and Technology Zhenjiang 212003 China Artificial Intelligence of Key Laboratory of Sichuan Province Sichuan University of Science and Engineering Zigong 643000 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China

Estimation of distribution algorithms (EDAs) is a new kind of evolution algorithm. In EDAs, through the statistics of the information of selected individuals in current group, the probability of the individual distribution in next generation is given and the next generation of group is formed by random sampling. A wide range of mathematical model of the knapsack problem are proposed. In this paper, the EDAs is applied to solve the knapsack problem. The influence of several strategies, such as numbers of population and better population selection proportions are analyzed. Simulation results show that the EDAs is reliable and effective for solving the knapsack problem. The Maltab code is given also. It can easily be modified for any combinatorial problem for which we have no good specialized algorithm. © 2014 ACADEMY PUBLISHER.

关键词： Genetic algorithms

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A representative local region detector based on color-contrast-MSER 14

A representative local region detector based on color-contra...

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2014 4th ACM International Conference on Multimedia Retrieval, ICMR 2014

作者： Cao, Yang Gao, Ke Tang, Sheng Zhang, Yongdong Key Lab of Intelligent Information Processing of Chinese Academy of Sciences Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China University of Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)1595930361

In order to extract representative local invariant regions in textured natural images, we propose a Color-Contrast-MSER (CCM) detector with color-contrast pixel ranking, which can reduce the number of meaningless regions extracted from backgrounds. The main contributions are threefold: (1) In contrast with the original MSER[3] which adopts intensity pixel ranking, we develop a new pixel ranking mechanism based on color contrast analysis. (2) In this paper, the pixel ranking value of each pixel is defined as the color contrast between a kernel-sized window and the background. Therefore we propose an adaptive background scale selection mechanism that simulates the background color distribution as the benchmark for color contrast. (3) The experimental results demonstrate that compared with the original MSER detector[3], our Color-Contrast-MSER (CCM) detector can extract more representative local regions with competitive repeatability score at only 50% computational time and 10% memory cost. Copyright 2014 ACM.

关键词： Pixels

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A dependency edge-based transfer model for statistical machine translation 25

A dependency edge-based transfer model for statistical machi...

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25th International Conference on Computational Linguistics, COLING 2014

作者： Chen, Hongshen Xie, Jun Meng, Fandong Jiang, Wenbin Liu, Qun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences China CNGL School of Computing Dublin City University Ireland

ISBN: (纸本)9781941643266

Previous models in syntax-based statistical machine translation usually resort to some kinds of synchronous procedures, few of these works are based on the analysis-transfer-generation methodology. In this paper, we present a statistical implementation of the analysis-transfergeneration methodology in rule-based translation. The procedures of syntax analysis, syntax transfer and language generation are modeled independently in order to break the synchronous constraint, resorting to dependency structures with dependency edges as atomic manipulating units. Large-scale experiments on Chinese to English translation show that our model exhibits state-of-the-art performance by significantly outperforming the phrase-based model. The statistical transfer-generation method results in significantly better performance with much smaller models.

关键词： Syntactics

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Review and analysis of China workshop on machine translation 2013 evaluation 11

Review and analysis of China workshop on machine translation...

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11th Conference of the Association for Machine Translation in the Americas, AMTA 2014

作者： Yang, Sitong Yu, Heng Zhao, Hongmei Liu, Qun Iü, Yajuan Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences China CNGL School of Computing Dublin City University Ireland

This paper gives a general review and detailed analysis of China Workshop on Machine Translation (CWMT) Evaluation. Compared with the past CWMT evaluation campaigns, CWMT2013 evaluation is characterized as follows: first, adopting gray-box evaluation which makes the results more replicable and controllable;second, adding one rule-based system as a counterpart;third, carrying out manual evaluations on some specific tasks to give a more comprehensive analysis of the translation errors. Boosted by those new features, our analysis and case study on the evaluation results shows the pros and cons of both rule-based and statistical systems, and reveals some interesting correlations bewteen automatic and manual evaluation metrics on different translation systems. © The Authors.

关键词： Computational linguistics

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RED: A reference dependency based MT evaluation metric 25

RED: A reference dependency based MT evaluation metric

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25th International Conference on Computational Linguistics, COLING 2014

作者： Yu, Hui Wu, Xiaofeng Xie, Jun Jiang, Wenbin Liu, Qun Lin, Shouxun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences China CNGL School of Computing Dublin City University Ireland

ISBN: (纸本)9781941643266

Most of the widely-used automatic evaluation metrics consider only the local fragments of the references and translations, and they ignore the evaluation on the syntax level. Current syntaxbased evaluation metrics try to introduce syntax information but suffer from the poor parsing results of the noisy machine translations. To alleviate this problem, we propose a novel dependency-based evaluation metric which only employs the dependency information of the references. We use two kinds of reference dependency structures: headword chain to capture the long distance dependency information, and fixed and floating structures to capture the local continuous ngram. Experiment results show that our metric achieves higher correlations with human judgments than BLEU, TER and HWCM on WMT 2012 and WMT 2013. By introducing extra linguistic resources and tuning parameters, the new metric gets the state-of-the-art performance which is better than METEOR and SEMPOS on system level, and is comparable with METEOR on sentence level on WMT 2012 and WMT 2013.

关键词： Syntactics

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