Атеїзм і релігія в контексті духовної культури суспільства

У статті аналізуються питання взаємовідносин атеїзму і релігії як ціннісних чинників духовної культури. Доводиться теза, що релігію та атеїзм слід розглядати як діалектично пов’язані протилежні сторони єдиного процесу розвитку духовної культури людства.В статье анализируются вопросы взаимоотношений атеизма и религии как ценностных факторов духовной культуры. Доказывается тезис, что религию и атеизм необходимо рассматривать как диалектически связанные противоположные стороны единого процесса развития духовной культуры человечества.The questions of mutual relations of atheism and religion as valuable factors of spiritual culture are considered in the article. The thesis is proved, that the religion and atheism is necessary for considering as dialectically connected opposite parties of uniform development of spiritual culture of mankind

Meta-Learning for Phonemic Annotation of Corpora

We apply rule induction, classifier combination and meta-learning (stacked classifiers) to the problem of bootstrapping high accuracy automatic annotation of corpora with pronunciation information. The task we address in this paper consists of generating phonemic representations reflecting the Flemish and Dutch pronunciations of a word on the basis of its orthographic representation (which in turn is based on the actual speech recordings). We compare several possible approaches to achieve the text-to-pronunciation mapping task: memory-based learning, transformation-based learning, rule induction, maximum entropy modeling, combination of classifiers in stacked learning, and stacking of meta-learners. We are interested both in optimal accuracy and in obtaining insight into the linguistic regularities involved. As far as accuracy is concerned, an already high accuracy level (93% for Celex and 86% for Fonilex at word level) for single classifiers is boosted significantly with additional error reductions of 31% and 38% respectively using combination of classifiers, and a further 5% using combination of meta-learners, bringing overall word level accuracy to 96% for the Dutch variant and 92% for the Flemish variant. We also show that the application of machine learning methods indeed leads to increased insight into the linguistic regularities determining the variation between the two pronunciation variants studied.Comment: 8 page

A note on conformal symmetry in projective superspace

We describe a sufficient condition for actions constructed in projective superspace to possess an SU(2) R-symmetry. We check directly that this condition implies that the corresponding hyperkahler varieties, constructed by means of the generalized Legendre transform, have a Swann bundle structure.Comment: 21 pages, added reference