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Titlebook: Computational Linguistics and Intelligent Text Processing; 12th International C Alexander F. Gelbukh Conference proceedings 2011 Springer B

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Der wissenschaftliche Publikationsprozessbject. The correlation of all arguments in a sentence, however, has not been extensively studied for sentence plausibility measuring because of the increased number of potential combinations and data sparseness. We propose a unified model for machine learning using SVM (Support Vector Machines) with
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The Creation of the World Assembly of Youth,tion and shape of subtrees in the treebank. Four main categories of TTFs are proposed and compared. Experimental results showed that each of the four categories independently improved the parsing accuracy significantly over the baseline model. When combined using the ensemble technique, the best unl
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On Going Out and the Experience of Students finite state transducers is based on novel linguistically motivated morphological rules describing the verbal paradigm. Given that these transducers are simpler than the ones created in previous developments and are easy to learn and remember, the method can also be employed as a pedagogic tool in
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Computational Linguistics and Intelligent Text Processing978-3-642-19400-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
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