Natural Language Processing Functional Homonymy Resolution of Homonymy
Institute of Information Theories and Applications FOI ITHEA
Applied problems of functional homonymy resolution for Russian language are investigated in the work.
The results obtained while using the method of functional homonymy resolution based on contextual rules are
presented. Structural characteristics of minimal contextual rules for different types of functional homonymy are
researched. Particular attention is paid to studying the control structure of the rules, which allows for the
homonymy resolution accuracy not less than 95%. The contextual rules constructed have been realized in the
system of technical text analysis.