Finite-state technology is considered the preferred model for representing the phonology and morphology of natural languages. The attractiveness of this technology for natural lang...
Finite-state processing is typically based on structures that allow for efficient indexing and sequential search. However, this “rigid” framework has several disadvantages when...
Alexander Troussov, Brian O'Donovan, Seppo Koskenn...
This paper is a review of some of the major applications of finite-state transducers in Natural Language Processing ranging from morphological analysis to finite-state parsing. The...
Finite-state techniques are widely used in various areas of Natural Language Processing (NLP). As Kaplan and Kay [12] have argular expressions are the appropriate level of abstract...