A genetic word clustering algorithm

German Hernandez, Leonardo Bobadilla, Oscar Sanchez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

In this work, a genetic word clustering algorithm, that classifies words present in the phrases of a linguistic corpus, is proposed. The underlying goal of word classification is to build a good probabilistic model of the language defined by the phrases in the corpus. Some experiments comparing the performance of the proposed algorithm with a classical word clustering algorithm were carried out.

Original languageEnglish
Title of host publication2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings
Pages1075-1080
Number of pages6
StatePublished - 2005
Externally publishedYes
Event2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005 - Edinburgh, Scotland, United Kingdom
Duration: 2 Sep 20055 Sep 2005

Publication series

Name2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings
Volume2

Conference

Conference2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005
Country/TerritoryUnited Kingdom
CityEdinburgh, Scotland
Period2/09/055/09/05

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