Application-Oriented Comparison and Evaluation of Six Semantic Similarity Measures Based on Wordnet

Author

Liu, Peng-yuan ; Zhao, Tie-jun ; Yu, Xiao-feng

Author_Institution

MOE-MS Key Lab. of NLP & Speech, Harbin Inst. of Technol.

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

2605

Lastpage

2610

Abstract

In the task of auto-building a Chinese-English semantic lexicon for translation selection, this research presents a method, which introduces WordNet similarity measures to wash out misaligned Chinese-English word pairs. Six different proposed measures of similarity based on WordNet were experimentally compared and evaluated by using WordNet and the software package WordNet::Similarity. It was found that the leader measure is res and lch, then wup, lin takes the fourth place, then jcn, and random is the tailender

Keywords

language translation; natural languages; programming language semantics; word processing; Chinese-English semantic lexicon; WordNet::Similarity package; machine translation; semantic similarity measure; Computational linguistics; Computer science; Cybernetics; Data mining; Laboratories; Machine learning; Particle measurements; Software measurement; Software packages; Speech; Speech analysis; Text categorization; Synset; WordNet; WordNet::Similarity; relatedness; semantic; similarity;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.258857

Filename

4028503