... Framework to Model Context and Memory in EditDistance Learning: AnApplicationtoPronunciation Classification Karim Filali and Jeff Bilmes∗Departments of Computer Science & Engineering and Electrical ... Wison, and E.R. Hancock. 2000.Bayesian graph edit distance. IEEE Trans. on PatternAnalysis and Machine Intelligence, 22:628–635.M. Neuhaus and H. Bunke. 2004. A probabilistic ap-proach to learning ... wide rangeof applications in classification, natural languageprocessing, computational biology, and many otherfields. It has been extended in various ways; forexample, to handle simple (Lowrance...
... (Fig. 1.6). Topology and Geology Topologically and geologically, the mainland of the study area can be separated into two regions: the lowlands in the Western part and highlands in the Eastern ... Wendy from the Construction and Transport groups; Our secretaries: Anke, Joke and Ellen; Yan, Dong, Ping, Chang Wei and Jan from the ‘Chinese community’. Dank je wel and Xie xie. The work of ... attributable to each input xi. An elementary effect can be understood as the change in an output y induced by a relative change in an input xi (e.g. an increment of 10 kg BOD/day of the total...
... preferable to assume a simpler and more gen-eral mechanism, and that the copy mechanism isnot needed. This conclusion is strengthened whenwe turn to consider the performance of the parseron the standard ... Linguistics.Sapporo, Japan, pages 423–430.Kuhn, Roland and Renate de Mori. 1990. A cache-based nat-ural language model for speech recognition. IEEE Tran-sanctions on Pattern Analysis and Machine Intelligence12(6):570–583.Roark, ... Adapt, Randomized Corpus- Adapt, Untouched Corpus- Adapt, Randomized CorpusFigure 3: Log of number of words between ruleinvocationstogram for both the non-randomized and random-ized treebanks....
... pollutants from their origin (the vehicle) and trans- formation models which describe how different pollutants can react together to form so-called secondary air pollutants. For some pollu- tants ... formula allows us to compute the marginal change in the noise level due toan addi- tional PCU. The total effect on noise is not necessarily larger than the direct effect and can even become negative. ... with hedonic pricing. In order to get good results, one must take into account all explanatory variables of housing prices. But the inclu- sion of too many explanatory variables will raise the...
... Shanahan, Yan Qu,and Janyce Wiebe, editors, Computing Attitude and Affectin Text: Theories and Applications, pages 93–107. Springer,Heidelberg, DE.Sanda H. Harabagiu, George A. Miller, and ... vectors e almost always im-proves the ranking, sometimes significantly so, withrespect to the original ranking embodied by the evector.For positivity, the rankings produced usingPageRank and ... positivity andonce for negativity.The last question to be answered is: “why PageR-ank?” Are the characteristics of PageRank moresuitable to the problem of ranking synsets than otherrandom-walk...
... ismore robust to errors in the language produced bythe translator.Adapting language resources and knowledge to a new language was first studied for general textcategorization and information ... translation from the online Google translator isalways “cheap”, a word typically used in a neg-ative context in English. To reduce this kind oferror introduced by the translator, Wan in (Wan,2009) ... gatheredin one language to another language. A simple andstraightforward solution for this problem mightbe to use automatic machine translations. How-ever, while machine translation has been the...
... non-transliteration pairs than transliter-ation pairs. We don’t want to maximize the like-lihood of the non-transliteration pairs. Instead wewant to optimize the transliteration performance ... predictions of the transliterator which areactually translations lead toan overestimate of thetransliteration accuracy and may cause Algorithm 2 to predict a stopping iteration which is too early.By ... Linguistics and the 44th annual meeting of theACL, Morristown, NJ, USA.Philipp Koehn, Franz J. Och, and Daniel Marcu. 2003.Statistical phrase-based translation. In Proceedings ofthe Human Language...
... 2001) to semi-automated approaches (Hu and Liu, 2004;Zhuang et al., 2006; Kim and Hovy, 2004), andeven an almost fully automated approach (Turney,2002). Most semi-automated approaches have metwith ... Algorithm Correctness and ConvergenceUpdating F,G,S using the rules above leads to an asymptotic convergence to a local minima. Thiscan be proved using arguments similar to (Dinget al., 2006). ... http://www.cs.cornell.edu/home/llee/opinion-mining-sentiment-analysis-survey.html.B. Pang, L. Lee, and S. Vaithyanathan. 2002. Thumbsup? sentiment classification using machine learningtechniques. In EMNLP.G. Ramakrishnan, A. Jadhav, A....
... and can there-fore be useful for other parsing applications.A Generic Approach to Parallel Chart Parsing with an Applicationto LinGOMarcel van LohuizenFaculty of Information Technology and ... years, many improvements to existingparsing techniques have boosted the perfor-mance of parsers by many factors (Oepen andCallmeier, 2000). If a design of a parallelparser is tied too much to ... Engineering, 6(1):1–18.[Manousopoulou et al.1997] A.G. Manousopoulou,G. Manis, P. Tsanakas, and G. Papakonstanti-nou. 1997. Automatic generation of portableparallel natural language parsers. In...
... Sincere thanks to Roberto Frassanito and Michael Rey for their most useful explanations and remarks. I am very grateful to Prof. Uwe Schmock for all the help with the mathematical theory. And ... In order to cover the range of all volatilities and stocks from different sectors we move to highly volatile stocks: ABB and Disetronic. Disetronic Medical Sistems AG: the analysis done ... from the Russian Stock Exchange - RTS and checked for accuracy with the one from Reuters. It covers a time period from May 4, 2000 to October 24, 2003. For a small history of the stock please...