Converting Morphological Information Using Lexicalized and General Conversion

Authors:
Mitsuo Shimohata;Eiichiro Sumita
Affiliations:
-;-
Venue:
CICLing '01 Proceedings of the Second International Conference on Computational Linguistics and Intelligent Text Processing
Year:
2001

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Abstract

Today, many kinds of tagged corpora are available for research use. Often a different morphological system is used in each corpus. This makes it difficult to merge different types of morphological information, since conversion between different systems is complex and necessitates a understanding of both systems. This paper describes a method of converting morphological information between two different systems by using lexicalized and general conversion. The difference between lexicalized and general conversion is the existence or absence of a lexicalized condition. Which conversion is applied depends on the frequency of segments.