Fuzzy translation tool for linguistic terms

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 28 Feb 2005Publisher:IEEEJournal:2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542), volume 2, pages 1,153-1,158

Authors: Andy Verkeyn; Dick Botteldooren;

doi: 10.1109/fuzzy.2004.1375574

Fuzzy translation tool for linguistic terms

- Summary
- Metrics

Abstract

An automatic translation tool for linguistic terms is built. The terms are represented by fuzzy sets and the translations are based on the similarity degree between those fuzzy sets. The tool is tested on 21 adverbs in 9 languages. The fuzzy sets are constructed with a probability based approach, based on data from an International study on the choice of appropriate terms to label a noise annoyance scale. The results are in agreement with common sense translations. A detailed sensitivity analysis shows that the procedure is stable for many operator choices.

Related Organizations

Ghent University
Belgium

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	2
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average