Fiscal federalism concept" that helps in designing financial relations between the national and subnational levels of the government, "fiscal decentralization on the other hand is a process of applying such principles". Federal and non-federal countries differ in the manner in which such principles are applied. Application differs because unitary and federal governments differ in their political and legislative context and thus provide different opportunities for fiscal decentralization. The concepts of fiscal federalism are related to vertical and horizontal fiscal relations. The notions related to horizontal fiscal relations are related to regional imbalances and horizontal competition. Similarly the notions related to fiscal relations
Word-sense disambiguation space. However, these supervised methods are subject to a new knowledge acquisition bottleneck since they rely on substantial amounts of manually sense-tagged corpora for training, which are laborious and expensive to create. Because of the lack of training data, many word sense disambiguation algorithms use semi-supervised learning, which allows both labeled and unlabeled data. The Yarowsky algorithm was an early example of such an algorithm. It uses the ‘One sense per collocation’ and the ‘One sense per discourse’ properties of human languages for word sense disambiguation. From observation, words tend to exhibit only one sense in most given discourse and