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48th Annual Meeting of the Association for Computational Linguistics, ACL 2010

作者： Wang, Zhiyang Lü, Yajuan Liu, Qun Hwang, Young-Sook Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing 100190 China HILab Convergence Technology Center C and i Business SKTelecom 11 Euljiro2-ga Jung-gu Seoul 100-999 Korea Republic of

ISBN: (纸本)9781617388088

This paper presents a novel filtration criterion to restrict the rule extraction for the hierarchical phrase-based translation model, where a bilingual but relaxed wellformed dependency restriction is used to filter out bad rules. Furthermore, a new feature which describes the regularity that the source/target dependency edge triggers the target/source word is also proposed. Experimental results show that, the new criteria weeds out about 40% rules while with translation performance improvement, and the new feature brings another improvement to the baseline system, especially on larger corpus. © 2010 Association for Computational Linguistics.

关键词： Translation (languages)

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Design and implementation of a kind of EUPS for mobile service

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Journal of information and Computational Science 2010年第11期7卷 2248-2257页

作者： Zhang, Xiaodan Zhang, Degan Qiao, Xiaodong Liang, Bing Peng, Hongtao Institute of Scientific and Technical Information of China Beijing 100038 China Tianjin Key Lab. of Intelligent Computing and Novel software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China Beijing Petroleum Managers Training Institute Beijing 100096 China

In order to support mobile service of long-distance monitoring and controlling UPS based on Web, a kind of design and implementation solution of embedded UPS (EUPS) system is brought forward in this paper. The design and implementation of system is based on ATmega161 and RTL8019AS with TCP/IP protocol suite for communication. In the EUPS system, an embedded file system is designed and implemented which can store the data and index information on a serial EEPROM chip in structured way and communicate with MCU through I2C bus. By embedding the file system into UPS system or other information appliances, users can browse and manipulate local data on the web client side. Based on our experimental tests, the performance of EUPS can meet the requirements of Web-based mobile services. © 2010 Binary information Press.

关键词： Websites

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Automatically organize web text resources with frequent term tree

Automatically organize web text resources with frequent term...

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IEEE 9th International Conference on Computer and information Technology, CIT 2009

作者： Wang, Xiaofeng Shi, Zhongzhi Key Lab. of Intelligent Information Processing Institute of Computing Technology Graduate University of Chinese Academy of Sciences Beijing China Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9780769538365

With the expansion of the Web, automatically organizing large scale text resources, e.g. Web pages, becomes very important. Many Web sites, like Google and Yahoo, use hierarchical classification trees to organize text resources in Web. User can easily find the text resources that meet their requirements by navigating these hierarchical classification trees. Typically, the text resources in Web are manually assigned to the nodes of the hierarchical classification tree. This limits the hierarchical classification tree to organize large scale text resources. In this paper, we propose a Frequent Term Tree to improve the ability of hierarchical classification tree in organizing large scale text resources in Web. Different from the Fp-tree [17] which is utilized to efficiently discover frequent patterns, the frequent term tree is used to organize resources with frequent pattern based classification. The Frequent Term Tree can accurately assign text resources to each node of classification tree and improve the ability in organizing resources with the incremental classified text resources. The evaluation of the Frequent Term Tree demonstrates that Frequent Term Tree can effectively and efficiently organize text resources. © 2009 IEEE.

关键词： Websites

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A new population diversity model in intelligence optimization algorithms

A new population diversity model in intelligence optimizatio...

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2009 International Conference on Computational Intelligence and Security, CIS 2009

作者： Feng, Jiqiang Xie, Weixin Xu, Chen Key Lab. for Intelligent Information Processing Shenzhen University Shenzhen China Institute of Intelligent Computing Science Shenzhen University Shenzhen China

ISBN: (纸本)9780769539317

A mathematical framework based on probability theory is presented that enables us to analyze one important aspect of SI algorithms: the population diversity. Firstly the population density degree is defined for the population in the SI algorithms. The population diversity is then discussed from the point of view of the normal distribution in statistics. We show that there is a close connection between the distribution and population diversity and that the essential structure of population diversity is quite similar to that of the distribution. A detailed construction of the population diversity model is then given that is based on probability distributions. The paper concludes with a generic numerical example that validates the population diversity model. © 2009 IEEE.

关键词： Normal distribution

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Automatic adaptation of annotation standards for dependency parsing - Using projected treebank as source corpus 11

Automatic adaptation of annotation standards for dependency ...

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11th International Conference on Parsing Technologies, IWPT 2009

作者： Jiang, Wenbin Liu, Qun Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing100190 China

We describe for dependency parsing an annotation adaptation strategy, which can automatically transfer the knowledge from a source corpus with a different annotation standard to the desired target parser, with the supervision by a target corpus annotated in the desired standard. Furthermore, instead of a hand-annotated one, a projected treebank derived from a bilingual corpus is used as the source corpus. This benefits the resource-scarce languages which haven't different hand-annotated treebanks. Experiments show that the target parser gains significant improvement over the baseline parser trained on the target corpus only, when the target corpus is smaller. © 2009 Association for Computational Linguistics

关键词： Forestry

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A fast thinning algorithm for fingerprint image

A fast thinning algorithm for fingerprint image

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1st International Conference on information Science and Engineering, ICISE2009

作者： Xiang, Ming Wu, Xiaopei Hua, Quanping Key Lab. of Intelligent Computing and Signal Processing Anhui University Hefei230039 China Department of Information Engineering Zhejiang Textile and Fashion College Ningbo315211 China

ISBN: (纸本)9780769538877

Thinning algorithms can be classified into two general types: serial and parallel algorithms. Several algorithms have been proposed, but they have limitations. A new thinning algorithm based on the centroid of the block is presented. The new algorithm checks the 9*9 local neighborhoods around the pixel to find out the centroid pixel of the block, and other pixels are removed. The process is performed iteratively until less than ten pixels are deleted in one loop. To ensure the ridge is one pixel wide, a post-processing loop is designed and the pixels are deleted from the image if they satisfy some conditions. Experimental results are used to compare this new algorithm to other algorithms and their relative performances are assessed. The new algorithm is fast than other algorithms and the ridges are one pixel wide after thinned. ©2009 IEEE.

关键词： Pixels

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A compression algorithm for multi-streams based on GEP

A compression algorithm for multi-streams based on GEP

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3rd International Conference on Genetic and Evolutionary computing, WGEC 2009

作者： Ding, Chao Yuan, Chang-An Qin, Xiao Peng, Yu-Zhong Computer and Information Engineering College Guangxi Teachers Education University Nanning 530001 China First Middle School of Mengcheng Anhui Mengcheng233500 China Key Lab. of Scientific Computing and Intelligent Information Processing in Universities of Guangxi Guangxi Teachers Education University Nanning China

ISBN: (纸本)9780769538990

This paper applied the Methods which based on GEP in compress multi-streams. The contributions of this paper include: 1) giving an introduction to data function finding based on GEP(DFF-GEP), defining the main conception of Multi-Streams, and revealing the map relation in it;2) putting forward the Compression Algorithm for Multi-Streams according to map relation lied in data between data streams;and 3)providing an experience with the real data and find that (3.1) the compression ratio of the new methods is 120-150 times as the traditional wavelets method, and 35-70 times as the wavelets and coincidence method;(3.2) the relative error of the new method is about 3??,yet maximum relative error is 0.01 by using the traditional relative error standard, the precision is improved from 7% to 15% as compared with the traditional method. © 2009 IEEE.

关键词： Errors

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Sub-sentence division for tree-based machine translation

Sub-sentence division for tree-based machine translation

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Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language processing of the AFNLP, ACL-IJCNLP 2009

作者： Xiong, Hao Xu, Wenwen Mi, Haitao Liu, Yang Liu, Qun Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing 100190 China Key Lab. of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing 100190 China

ISBN: (纸本)9781617382581

Tree-based statistical machine translation models have made significant progress in recent years, especially when replacing 1-best trees with packed forests. However, as the parsing accuracy usually goes down dramatically with the increase of sentence length, translating long sentences often takes long time and only produces degenerate translations. We propose a new method named subsentence division that reduces the decoding time and improves the translation quality for tree-based translation. Our approach divides long sentences into several sub-sentences by exploiting tree structures. Large-scale experiments on the NIST 2008 Chinese-to-English test set show that our approach achieves an absolute improvement of 1.1 BLEU points over the baseline system in 50% less time. © 2009 ACL and AFNLP.

关键词： Machine translation

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A new population diversity model in swarm intelligence

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Journal of information and Computational Science 2009年第4期6卷 1891-1898页

作者： Feng, Jiqiang Xie, Weixin Xu, Chen Huang, Jianjun Key Lab. for Intelligent Information Processing Shenzhen University Shenzhen 518060 China Institute of Intelligent Computing Science Shenzhen University Shenzhen 518060 China

Many researchers of swarm intelligence (SI) algorithms take their ideas from physical and biological systems. This approach, however, is mostly qualitative and many ideas remain vague and ill-defined. In this paper, a mathematical framework based on probability theory is presented that enables us to analyze one important aspect of SI algorithms: the population diversity. Firstly the population density is defined for the population in the SI algorithms. The population diversity is then discussed from the point of view of the normal distribution in statistics. We show that there is a close connection between the distribution and population diversity and that the essential structure of population diversity is quite similar to that of the distribution. A detailed construction of the population diversity model is then given that is based on probability distributions and the convergence of the model is theoretically discussed for single peak value case. The paper concludes with a generic numerical example that validates the population diversity model. © 2009 Binary information Press.

关键词： Normal distribution

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Automatic adaptation of annotation standards: Chinese word segmentation and POS tagging - A case study

Automatic adaptation of annotation standards: Chinese word s...

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Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language processing of the AFNLP, ACL-IJCNLP 2009

作者： Jiang, Wenbin Huang, Liang Liu, Qun Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing 100190 China Google Research 1350 Charleston Rd. Mountain View CA 94043 United States

ISBN: (纸本)9781617382581

Manually annotated corpora are valuable but scarce resources, yet for many annotation tasks such as treebanking and sequence lab.ling there exist multiple corpora with different and incompatible annotation guidelines or standards. This seems to be a great waste of human efforts, and it would be nice to automatically adapt one annotation standard to another. We present a simple yet effective strategy that transfers knowledge from a differently annotated corpus to the corpus with desired annotation. We test the efficacy of this method in the context of Chinese word segmentation and part-of-speech tagging, where no segmentation and POS tagging standards are widely accepted due to the lack of morphology in Chinese. Experiments show that adaptation from the much larger People's Daily corpus to the smaller but more popular Penn Chinese Treebank results in significant improvements in both segmentation and tagging accuracies (with error reductions of 30.2% and 14%, respectively), which in turn helps improve Chinese parsing accuracy. © 2009 ACL and AFNLP.

关键词： Forestry

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