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Crawling Back and Forth: Using Back and Out Links to Locate Bilingual Sites 5

Crawling Back and Forth: Using Back and Out Links to Locate ...

引用

5th international Joint conference on Natural Language processing, IJCNLP 2011

作者： Barbosa, Luciano Bangalore, Srinivas Rangarajan, Vivek Kumar Sridhar AT&T Labs - Research 180 Park Ave Florham ParkNJ07932 United States

ISBN: (纸本)9789744665645

this paper presents a novel crawling strategy to locate bilingual sites. It does so by focusing on the Web graph neighborhood of these sites and exploring the patterns of the links in this region to guide its visitation policy. A sub-task in the problem of bilingual site discovery is the job of detecting bilingual sites, i.e., given a Web site, verify whether it is bilingual or not. We perform this task by combining supervised learning and language identification. Experimental results demonstrate that our crawler outperforms previous crawling approaches and produces a high-quality collection of bilingual sites, which we evaluate in the context of machine translation in the tourism and hospitality domain. the parallel text obtained using our novel crawling strategy results in a relative improvement of 22% in BLEU score (English-to-Spanish) over an out-of-domain seed translation model trained on the European parliamentary proceedings. © 2011 AFNLP

关键词： Natural language processing systems

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Comparing Two Techniques for Learning Transliteration Models Using a parallel Corpus 5

Comparing Two Techniques for Learning Transliteration Models...

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5th international Joint conference on Natural Language processing, IJCNLP 2011

作者： Sajjad, Hassan Durrani, Nadir Schmid, Helmut Fraser, Alexander Institute for Natural Language Processing University of Stuttgart Germany

ISBN: (纸本)9789744665645

We compare the use of an unsupervised transliteration mining method and a rule-based method to automatically extract lists of transliteration word pairs from a parallel corpus of Hindi/Urdu. We build joint source channel models on the automatically aligned orthographic transliteration units of the automatically extracted lists of transliteration pairs resulting in two transliteration systems. We compare our systems with three transliteration systems available on the web, and show that our systems have better performance. We perform an extensive analysis of the results of using both methods and show evidence that the unsupervised transliteration mining method is superior for applications requiring high recall transliteration lists, while the rule-based method is useful for obtaining high precision lists. © 2011 AFNLP

关键词： Natural language processing systems

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P2G: A framework for distributed real-time processing of multimedia data

P2G: A framework for distributed real-time processing of mul...

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2011 international conference on parallel processing Workshops, ICPPW 2011

作者： Espeland, Håvard Beskow, Paul B. Stensland, Håkon K. Olsen, Preben N. Kristoffersen, Ståle Griwodz, Carsten Halvorsen, Pål Department of Informatics University of Oslo Norway Simula Research Laboratory Norway

ISBN: (纸本)9780769545110

the computational demands of multimedia data processing are steadily increasing as consumers call for progressively more complex and intelligent multimedia services. New multi-core hardware architectures provide the required resources, but writing parallel, distributed applications remains a labor-intensive task compared to their sequential counter-part. For this reason, Google and Microsoft implemented their respective processing frameworks MapReduce [10] and Dryad [19], as they allow the developer to think sequentially, yet benefit from parallel and distributed execution. An inherent limitation in the design of these batch processing frameworks is their inability to express arbitrarily complex workloads. the dependency graphs of the frameworks are often limited to directed acyclic graphs, or even pre-determined stages. this is particularly problematic for video encoding and other algorithms that depend on iterative execution. With the Nornir runtime system for parallel programs [39], which is a Kahn Process Network implementation, we addressed and solved several of these limitations. However, it is more difficult to use than other frameworks due to its complex programming model. In this paper, we build on the knowledge gained from Nornir and present a new framework, called P2G, designed specifically for developing and processing distributed real-time multimedia data. P2G supports arbitrarily complex dependency graphs with cycles, branches and deadlines, and provides both data- and task-parallelism. the framework is implemented to scale transparently with available (heterogeneous) resources, a concept familiar from the cloud computing paradigm. We have implemented an (interchangeable) P2G kernel language to ease development. In this paper, we present a proof of concept implementation of a P2G execution node and some experimental examples using complex workloads like Motion JPEG and Kmeans clustering. the results show that the P2G system is a feasible approach to mu

关键词： MapReduce

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Generating Chinese Named Entity Data from a parallel Corpus 5

Generating Chinese Named Entity Data from a Parallel Corpus

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5th international Joint conference on Natural Language processing, IJCNLP 2011

作者： Fu, Ruiji Qin, Bing Liu, Ting Research Center for Social Computing and Information Retrieval MOE-Microsoft Key Laboratory of Natural Language Processing and Speech School of Computer Science and Technology Harbin Institute of Technology Harbin China

ISBN: (纸本)9789744665645

Annotating Named Entity Recognition (NER) training corpora is a costly process but necessary for supervised NER systems. this paper presents an approach to generate large-scale Chinese NER training data from an English-Chinese discourse level aligned parallel corpus. Difficulty of NER is different among languages due to their unique features. For example, the performance of English NER systems is usually higher than the Chinese ones on average. In our method, we first employ a high performance NER system on one side of a bilingual corpus. And then, we project the NE labels to the other side according to the word level alignment. At last, we select high-quality labeled sentences using different strategies and generate an NER training corpus. In our experiments, we generate a Chinese NER corpus with 167,100 sentences through an English-Chinese parallel corpus. the system trained on the automatically generated corpus attains a comparable result with the one trained on the manually-annotated corpus. Further experiments show that the NER performance is significantly improved on two different evaluation sets by using the generated training data as an additional corpus to the manually-labeled data. © 2011 AFNLP

关键词： Natural language processing systems

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E-Technologies: Transformation in a Connected World - 5th international conference, MCETECH 2011, Revised Selected Papers

E-Technologies: Transformation in a Connected World - 5th In...

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5th international conference on E-Technologies: Transformation in a Connected World, MCETECH 2011

ISBN: (纸本)9783642208614

the proceedings contain 18 papers. the topics discussed include: a systematic approach to web application penetration testing using TTCN-3;towards model-based support for managing organizational transformation;cloud computing providers: characteristics and recommendations;evolution of goal-driven pattern families for business process modeling;searching, translating and classifying information in cyberspace;e-tourism portal: a case study in ontology-driven development;toward a goal-oriented, business intelligence decision-making framework;flexible communication based on linguistic and ontological cues;a study of e-government architectures;model-based engineering of a managed process application framework;harnessing enterprise 2.0 technologies: the midnight projects;following the conversation: a more meaningful expression of engagement;and the design, development and application of a proxy credential auditing infrastructure for collaborative research.

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A new hardware architecture for H.264 intra prediction frame processing

A new hardware architecture for H.264 intra prediction frame...

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2011 IEEE 5th international conference on Internet Multimedia Systems Architecture and Application, IMSAA 2011

作者： Shou-Gen, Xu Ming-Jiang, Wang Shi-Kai, Zuo Harbin Institute of Technology ShenZhen Graduate School ShenZhen Guangdong 518055 China

ISBN: (纸本)9781457713286

this paper presents a hardware architecture for H.264 intra prediction frame processing. this design reuse some modules according to the common parts of luma 16X16 prediction and chroma 8X8 prediction in architecture and algorithm. thereby reduces the area of chip and cost, and enhances its market competition. the parallel pipeline is also adopted to enhance the encode efficiency. the top-down design method is adopted in this design. In the beginning the system architecture and C model are designed. then we implemented the architecture by Verilog HDL. After the ASIC synthesis, which is based on Chartered 0.13um technology library, it can run 1080P@30 under the clock frequency 102M with 386.46K logic gates. the result of simulation and synthesis show that the timing and area requirement of design are both capable for 1080P@30fps HD applications. © 2011 IEEE.

关键词： Application specific integrated circuits

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Exploiting multi- and many-core parallelism for accelerating image compression

Exploiting multi- and many-core parallelism for accelerating...

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FTRA international conference on Multimedia and Ubiquitous Engineering

作者： Kim, Cheong Ghil Choi, Yong Soo Dept. of Computer Science Namseoul University Cheonan Chungnam Korea Republic of GSIMS Korea University Seoul Korea Republic of

ISBN: (纸本)9780769544700

With the help of recent development on semiconductor design and process technologies modern processors can provide a great opportunity to increase the performance of processing multimedia data by exploiting task- and data-parallelism in heterogeneous system consisting of multi-core CPUs and many-core CPUs (graphical processing units). this paper presents an optimization of 2D DCT (discrete cosine transform), a computation intensive signal processing algorithm widely used in compression standards, on speed in multi-core CPUs and many-core CPUs. Two optimization techniques using Intel TBB (threading building blocks) and OpenCL are discussed in detail. OpenCL is a recent open standard proposed to provide universal APIs and programming paradigms for various CPUs and accelerators;it can provide massively parallel processing suitable for data intensive multimedia applications with very low cost. the simulation result that the parallel DCT implementations are performed considerably faster than the serial ones, max 4.8 and 6.9 times speedup as for TBB and OpenCL, respectively. Especially, OpenCL implementation on GPU shows a linear speedup, a typical characteristic of massively parallel processing, as the increase of 2D data sets. © 2011 IEEE.

关键词： Graphics processing unit

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Parametric Weighting of parallel Data for Statistical Machine Translation 5

Parametric Weighting of Parallel Data for Statistical Machin...

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5th international Joint conference on Natural Language processing, IJCNLP 2011

作者： Shah, Kashif Barrault, Loïc Schwenk, Holger LIUM University of Le Mans Le Mans France

ISBN: (纸本)9789744665645

During the last years there is increasing interest in methods that perform some kind of weighting of heterogeneous parallel training data when building a statistical machine translation system. It was for instance observed that training data that is close to the period of the test data is more valuable than older data (Hardt and Elming, 2010;Levenberg et al., 2010). In this paper we obtain such a weighting by resampling alignments using weights that decrease with the temporal distance of bitexts to the test set. By these means, we can use all the available bitexts and still put an emphasis on the most recent one. the main idea of our approach is to use a parametric form or meta-weights for the weighting of the different parts of the bitexts. this ensures that our approach has only few parameters to optimize. We report experimental results on the Europarl corpus, translating from French to English and further verified it on the official WMT'11 task, translating from English to French. Our method achieves improvements of about 0.6 points BLEU on the test set with respect to a system trained on data without any weighting. © 2011 AFNLP

关键词： Computer aided language translation

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A Cross-lingual Annotation Projection-based Self-supervision Approach for Open Information Extraction 5

A Cross-lingual Annotation Projection-based Self-supervision...

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5th international Joint conference on Natural Language processing, IJCNLP 2011

作者： Kim, Seokhwan Jeong, Minwoo Lee, Jonghoon Lee, Gary Geunbae Department of Computer Science and Engineering Pohang University of Science and Technology Korea Republic of

ISBN: (纸本)9789744665645

Open information extraction (IE) is a weakly supervised IE paradigm that aims to extract relation-independent information from large-scale natural language documents without significant annotation efforts. A key challenge for Open IE is to achieve self-supervision, in which the training examples are automatically obtained. Although the feasibility of Open IE systems has been demonstrated for English, utilizing such techniques to build the systems for other languages is problematic because previous self-supervision approaches require language-specific knowledge. To improve the cross-language portability of Open IE systems, this paper presents a self-supervision approach that exploits parallel corpora to obtain training examples for the target language by projecting the annotations onto the source language. the merit of our method is demonstrated using a Korean Open IE system developed without any language-specific knowledge. © 2011 AFNLP

关键词： Natural language processing systems

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A parallel architecture for DNA matching

A parallel architecture for DNA matching

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11th international conference on algorithms and architectures for parallel processing, ICA3PP 2011

作者： Segundo, Edgar J. Garcia Neto Nedjah, Nadia De Macedo Mourelle, Luiza Department of Electronics Engineering and Telecommunications Faculty of Engineering State University of Do Rio de Janeiro Brazil Department of Systems Engineering and Computation Faculty of Engineering State University of Do Rio de Janeiro Brazil

ISBN: (纸本)9783642246685

DNA sequences can be often showed in fragments, little pieces, found at crime scene or in a hair sample for paternity exam. In order to compare that fragments with a subject or target sequence of a suspect, we need an efficient tool to analyze the DNA sequence alignment and matching. So DNA matching is a bioinformatics field that could find relationships functions between sequences, alignments and them try to understand it. Usually done by software through databases clusters analysis, DNA matching requires a lot of computational resources, what may increase the bioinformatics project budget. We propose the approach of a hardware parallel architecture, based on heuristic method, capable of reducing time spent on matching process. © 2011 Springer-Verlag.

关键词： DNA

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