Fiscal federalism relevant for all kinds of government: unitary, federal and confederal. The concept of fiscal federalism is not to be associated with fiscal decentralization in officially declared federations only; it is applicable even to non-federal states (having no formal federal constitutional arrangement) in the sense that they encompass different levels of government which have de facto decision-making authority. This, however, does not mean that all forms of governments are 'fiscally' federal, only that 'fiscal federalism' is a set of principles that can be applied to all countries attempting 'fiscal decentralization'. In fact, fiscal federalism is a general normative framework for assignment
Word-sense disambiguation whole corpus is consumed, or until a given maximum number of iterations is reached. Other semi-supervised techniques use large quantities of untagged corpora to provide co-occurrence information that supplements the tagged corpora. These techniques have the potential to help in the adaptation of supervised models to different domains. Also, an ambiguous word in one language is often translated into different words in a second language depending on the sense of the word. Word-aligned bilingual corpora have been used to infer cross-lingual sense distinctions, a kind of semi-supervised system. Unsupervised learning is the greatest challenge for WSD researchers. The underlying assumption