Contextually self-organized maps of Chinese words : Part 2

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en Kohonen, Teuvo 2011-11-28T13:26:59Z 2011-11-28T13:26:59Z 2010
dc.identifier.isbn 978-952-60-3301-3
dc.identifier.issn 1797-5042
dc.description.abstract In this second publication on the contextual SOMs of Chinese words, a new effect is reported. The SOM was trained by the complete MCRC corpus used in the previous publication. When its hit diagrams were formed using subsets of words of a certain word class with different word frequencies, the hit distribution was found to be a function of this frequency. An explanation of this effect might be that the usage of the words changes with time, and frequent use accelerates this transformation. Therefore, in planning new experiments on the contextually self-organizing word maps, one should be aware of this effect and take it into account in the selection of words to represent the word classes. en
dc.format.extent 55
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Aalto University School of Science and Technology en
dc.publisher Aalto-yliopiston teknillinen korkeakoulu fi
dc.relation.ispartofseries TKK reports in information and computer science en
dc.relation.ispartofseries 35 en
dc.subject.other Computer science en
dc.title Contextually self-organized maps of Chinese words : Part 2 en Faculty of Information and Natural Sciences en Informaatio- ja luonnontieteiden tiedekunta fi
dc.contributor.department Department of Information and Computer Science en
dc.contributor.department Tietojenkäsittelytieteen laitos fi
dc.subject.keyword Chinese text analysis en
dc.subject.keyword cognitive linguistics en
dc.subject.keyword contextual map en
dc.subject.keyword self-organizing map en
dc.subject.keyword semantic representation en
dc.subject.keyword SOM en
dc.subject.keyword word frequency en
dc.identifier.urn urn:nbn:fi:tkk-013188
dc.type.dcmitype text en

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