Knowledge engineering approach to morphological analysis

Authors:
Harri Jäppinen;Aarno Lehtola;Esa Nelimarkka;Matti Ylilammi
Affiliations:
Helsinki University of Technology, Helsinki, Finland;Helsinki University of Technology, Helsinki, Finland;Helsinki University of Technology, Helsinki, Finland;Helsinki University of Technology, Helsinki, Finland
Venue:
EACL '83 Proceedings of the first conference on European chapter of the Association for Computational Linguistics
Year:
1983

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Abstract

Finnish is a highly inflectional language. A verb can have over ten thousand different surface forms - nominals slightly fewer. Consequently, a morphological analyzer is an important component of a system aiming at "understanding" Finnish. This paper briefly describes our rule-based heuristic analyzer for Finnish nominal and verb forms. Our tests have shown it to be quite efficient: the analysis of a Finnish word in a running text takes an average of 15 ms of DEC 20 CPU-time.