... the task of text classification in a Bayesianlearning framework. This approach assumes that thetext data was generated by a parametric model, anduses training data to calculate Bayes-optimal ... |s=1|D|i=1NisP(cj|di).(6)The class prior parameters are calculated as beforeaccordingtoEquation4.ClassificationGiven estimates of these parameters calculated from thetraining documents, classification can be performed ... Machine Learning, 1997.Pat Langley, Wayne Iba, and Kevin Thompson. An anal-ysis of Bayesian classifiers. In AAAI-92, 1992.Leah S. Larkey and W. Bruce Croft. Combining classifiersin text categorization....
... LearningResearch, 9:1871–1874, June.Jan Hajiˇc, Massimiliano Ciaramita, Richard Johansson,Daisuke Kawahara, Maria Ant`onia Mart´ı, Llu´ıs M`arquez,Adam Meyers, Joakim Nivre, Sebastian Pad´o, ... dependency parsers).3 ResultsTable 3 tabulates efficiency and performance for allparsers; UAS and LAS are unlabeled and labeled at-tachment scores, respectively — the standard crite-ria for evaluating ... reviewers, for valuable comments.Supported in part by the National Natural Science Founda-tion of China (NSFC) via grant 61133012, the National “863”Major Project grant 2011AA0 1A2 07, and the National...
... systemcombines amachinetranslation system and a texteditor into a single application. The human trans-lator types the translationofa given source text. For each prefix ofa word, the machine translation system ... Technologyfoch,zens,neyl@cs.rwth-aachen.deAbstractThe goal of interactive machine transla-tion is to improve the productivity of hu-man translators. An interactive machine translation system operates as follows:the automatic ... et al., 1996), finds a verynatural implementation in the framework of statis-tical machine translation. In interactive machine translation, the basic idea is to provide an environ-ment to a...
... Generalization for Improving Statistical Machine Translation Adri` a de GispertTALP Research CenterUniversitat Polit`ecnica de Catalunya (UPC)Barcelonaagispert@gps.tsc.upc.esAbstractIn ... have just two terms, namely a standardphrase translation model based on the classifiedparallel data, and an instance model assigning a probability to each target instance given the sourceclass ... thebase form of the head verb, we achieve a better statistical word alignment perfor-mance, and are able to better estimate the translation model and generalize to unseenverb forms during translation. ...
... Discriminative trainingand maximum entropy models forstatistical machine translation. In Proc. of the 40th Annual Meeting of the Association for Computational Linguistics (ACL),pages 295–302, ... This task contains the pro-ceedings of the Canadian parliament, which are keptby law in both French and English. About 3 millionparallel sentences of this bilingual data have beenmade available ... 96%.We have presented a polynomial-time search al-gorithm forstatisticalmachinetranslation based onthe ITG constraints and its extension for the gen-eration of word graphs. We have shown...
... 2. Casaoa MA, Navarroa E, Solerab J. Evaluation of Brucellacapt for the diagnosis of human brucellosis. Journal of Infection 2004; 49: 102–108. 3. Clavijo E, Diaz R, Anguita A, Garcia A, Pinedo ... Diagnostic Laboratory Immunology 2003;4:612-5. 4. Ordun A, Almaraz A, Prado A, Purıfıcacıo M, Gutıerrez N, Garc a- Pascual A, Duen A, Cuervo M, Abad R, Herna´Ndez B, Lorenzo B, Bratos AM, Rodrıguez ... Qassem LA, Osobad AO. Comparison of the Brucella Standard Agglutination Test with the ELISA IgG and IgM in patients with Brucella bacteremia. Diagnostic Microbiology and Infectious Disease 2002;...
... Seehttp://www.research.digital.com/SRC/juno-2.[10]JayaramanKrishnasamy, MarkJ.Jakiela, andDanielE.Whit-ney. Mechanics of vibration-assisted entrapment with appli-cation to design. In International Conference ... February 1971.[15]Balas K. Natarajan. Some paradigms for the automated de-sign of parts feeders. International Journal of Robotics Re-search, 8(6):98–109, December 1989. Also appeared in ... takingthe Cartesian product over all the parameter values. It alsoallows us to specify equivalence classes of stable states, andit then automatically categorizes the state (and hence, theequivalence...
... that this approach might be well-suited for applications where lots of training data is available. 6 Discussion Annotated corpora of linguistic phenomena en-able many new natural language ... dependency parser. 1 Introduction A persistent goal of natural language processing research has been the automated transformation of natural language texts into representations that unambiguously ... Proceedings NAACL. Collins, Michael. 1999. Head-Driven Statistical Mod-els for Natural Language Parsing, PhD thesis, Uni-versity of Pennsylvania. Gildea, Daniel and Daniel Jurafsky. 2002. Automatic...