... Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, pages 281–284,Suntec, Singapore, 4 August 2009.c2009 ACL and AFNLPEfficient InferenceofCRFsfor Large- ScaleNaturalLanguage Data Minwoo ... setting of parameters. We alsopresent a simple but robust variant algorithm in which CRFs efficiently learn and predict large- scale natural language data. 2 Linear-chain CRFs Many versions ofCRFs ... s for ours) and 7∼12 times faster for decod-ing (2.881 ms for MALLET, 5.028 ms for CRF++, and0.418 ms for ours). This result demonstrates that learn-ing and decoding CRFsfor large- scale natural...
... produce largescale lexical re-sources which include frequency and usage infor-mation tuned to genres and sublanguages. Suchresources are critical fornaturallanguage process-ing (NLP), both for ... enhancing the performance of state -of- art statistical systems and for improving theportability of these systems between domains.One type of lexical information with particularimportance for NLP is ... Meeting of the Association of Computational Linguistics, pages 912–919,Prague, Czech Republic, June 2007.c2007 Association for Computational LinguisticsA System for Large- Scale Acquisition of...
... number of records processed for each cluster sizeis therefore 5.6 million times the number of nodes. The perfor-mance of each system not only illustrates how each system scalesas the amount ofdata ... “represen-tative of a large subset of the real programs written by users of MapReduce” [8]. For this task, each system must scan through a data set of 100-byte records looking for a three-character ... Vertica)allows for optional compression of stored data. It is not uncom-mon for compression to result in a factor of 6–10 space savings.Vertica’s internal data representation is highly optimized for data compression...
... results for algorithms 1 and 4 onthe Europarl data (ep) for different devtest and testsets. Europarl data were used in all runs for train-ing and for setting the meta-parameter of number of epochs. ... learning for SMT not only to large featuresets but also to large sets of parallel training data. Since inferencefor SMT (unlike many other learn-ing problems) is very expensive, especially on large training ... the results of the experimentalcomparison of the 4 algorithms of Section 4. The7Absolute improvements would be possible, e.g., by usinglarger language models or by adding news data to the...
... levels of capi-talization of maize production – although of course these existed too. On average, maize production attracted large- scale farmers who were capital-poor, and whose use both of capital ... first half of the 1960s, in the form of adoption of (publicly bred) hybrid maize varieties and increased application of synthetic fertilizers. The key event here was the release of locally ... of ‘under cultivation’) and – to an even greater extent – of employment.2 In terms of cov-erage, data or estimates based on secondary sources are available for PF and LSF crop are-as for...
... At present none of the small scale paper mill in India is using chlorine dioxide because of the involvement of high cost of installation of chlorine dioxide plant and high cost of chlorine dioxide ... conditions for bleaching of pulp collected from respective paper mills. The level of AOX varied from 5.0 to 9.0 kg/t of pulp while in case of Mill C , the level of AOX was about 18.0 kg/t of pulp.-16- ... studies conducted on status of technology and level of AOX, the following recommendations are made:(i) Majority of the mills are using low dosages of caustic for cooking of mixed fibrous raw materials...
... auto-matic techniques to large- scale parallel corpora where data sparsity poses a problem for low-frequency terms. Data sparsity is also an issue for more general state -of- the-art bilingual align-ment ... access to large archives of spoken language (Gustman, et al., 2002). Our process leverages a small set of manually-acquired English-Czech translations to translate a large ontology of keyword ... hours of video testimonies in 32 languages. Starting from an initial out -of- vocabulary (OOV) rate of 85%, we show that a small set of prioritized translations can be elicited from human infor-mants,...
... dimension for each vector, its runtime is linear in the number of vectors,so detection can scale to large logs.PCA. PCA is a coordinate transformation method thatmaps a given set ofdata points ... insuf-ficient for effective problem determination [14].We propose a general approach for mining consolelogs for detecting runtime problems in large- scale sys-tems. Instead of asking for user input ... count. Dimen-sions of the vector consist of (the union of) all useful mes-sage types across all groups, and the value of a dimensionin the vector is the number of appearances of the corre-sponding...
... algorithm for obtaining word clas-sifications for predictive class-based language modelswith which we were able to use billions of tokens of training data to obtain classifications for millions of words ... Jeffrey Dean. 2007. Largelanguage modelsin machine translation. In Proceedings of the Con-ference on Empirical Methods in Natural Language Processing and on Computational Natural Language Learning ... fraction of the words for exchange will increase the number of iterationsrequired to converge. In experiments we empiricallydetermined that choosing a subset of roughly a third of the size of the...
... performance in terms of the expected number of routing hops and the number of messages exchanged as part of a node join operation. This section focuses on anotheraspect of Pastry’s routing performance, ... more of the issues and requirements of such applications and sys-tems [1, 2, 5,8,10,15]. One of the key problems in large- scale peer-to-peer applicationsis to provide efficient algorithms for ... design of a large- scale event notification infrastructure. Submitted for publication. June 2001.http://www.research.microsoft.com/ antr/SCRIBE/.23. M. A. Sheldon, A. Duda, R. Weiss, and D. K. Gifford....
... beamforming for high-speed data transmission. We assume that the number of RF cha ins is smaller than the number of antennas, whichmotivates the use of antenna selection to exploit the beamforming ... single-run performance of the antenna selectionalgorithm in [10] is also shown. In Figure 5, the averageperformance of 100 runs for the above schemes is plottedin a larger span of iterations. ... performance requireme nt in order to guar-antee that the actual performance of the selected sub-set meets the requirement with minimum number of selected antenna.Performance of adaptive beamformingFigure...