Feature Detection – A tool for Unifying Dictionary Definitions

By November 17, 2016,
Page 63-69
Author Jørg Asmussen
Title Feature Detection – A tool for Unifying Dictionary Definitions
Abstract Based on the development of a web-based digital dictionary of contemporary Danish with integrated corpus access, ORDNET, this paper outlines some of the problems connected with semantically oriented search in digital dictionaries; it then presents a statistical method to extract significant indicators of differentiating features from dictionary definitions, Feature Detection, and discusses its potential as a tool for unifying semantically related dictionary definitions, to determine salient differentiating features, and to perform semantic grouping of related words.
Session Computational Lexicography and Lexicology
Keywords
BibTex 
@InProceedings{ELX04-006,
	   author = {Jørg  Asmussen},
	   title = {Feature Detection - A tool for Unifying Dictionary Definitions },
	   pages = {63-69},
	   booktitle = {Proceedings of the 11th EURALEX International Congress},
	   year = {2004},
	   month = {july},
	   date = {6-10},
	   address = {Lorient, France},
	   editor = {Geoffrey Williams and Sandra Vessier},
	   publisher = {Université de Bretagne-Sud, Faculté des lettres et des sciences humaines},
	   isbn = {29-52245-70-3},
	}
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