Abstract: 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.

Keyword: natural language processing, functional homonymy, resolution of homonymy

ACM Classification Keywords: H.3.1.Information storage and retrieval: linguistic processing

Link:

APPLIED PROBLEMS OF FUNCTIONAL HOMONYMY RESOLUTION FOR RUSSIAN LANGUAGE

Olga Nevzorova, Julia Zin’kina, Nicolaj Pjatkin

http://www.foibg.com/ijita/vol12/ijita12-3-p05.pdf