Generalization analysis of the CL and MM-based classifications
László Kovács, P. Barabas · 2008
Computational linguistics covers the statistical and logical modeling of languages using computer-based software- hardware tools. An important component in CL systems is the morphological parser. The scope of our study is to build a statistical method to learn the rules of word inflection. The pre-requirement regarding the language is that the language uses words which are sequences of characters. A key factor of the required clustering algorithm is the cost efficiency. After analysis of the alternatives, two methods were selected to perform further refinement and adaptation: the observable Markov Model method and the formal concept analysis method.