Feature Detection – A tool for Unifying Dictionary Definitions

By November 17, 2016,
Page63-69
AuthorJørg Asmussen
TitleFeature Detection – A tool for Unifying Dictionary Definitions
AbstractBased 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.
SessionComputational 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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