Fuzzy translation tool for linguistic terms

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, ba...

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Bibliographic Details
Published in2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542) Vol. 2; pp. 1153 - 1158 vol.2
Main Authors Verkeyn, A., Botteldooren, D.
Format Conference Proceeding
LanguageEnglish
Published Piscataway NJ IEEE 2004
Subjects
Applied sciences
Artificial intelligence
Computer science; control theory; systems
Exact sciences and technology
Fuzzy sets
Information technology
Performance evaluation
Pollution
Sensitivity analysis
Terminology
Testing
Working environment noise
Fuzzy logic
Sensitivity analysis
Probabilistic approach
Automatic translation
Linguistic tool
Noise pollution
Case based reasoning
Fuzzy set
Common-sense reasoning
Optimization
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Summary: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.
ISBN:9780780383531
0780383532
ISSN:1098-7584
DOI:10.1109/FUZZY.2004.1375574