Lemmatization with reversed dictionary and fuzzy sets

Abstract

This paper deals with the problem of lemmatization of unknown words in Russian and German. For this purpose, the improved analogy method is used. The analogy method being built around reverse dictionary is very efficient and simple to realize. Adopting fuzzy sets for improving the analogy method is described in this paper. The fuzzy set is a good tool for modelling continual properties of a natural language. It can be implemented for lemmatization as a convenient tool to summarize information that is obtained from different sources. The paper contributes to solving the problem of increasing the accuracy of unknown words analysis.