?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=A+self-organizing+neural+network+model+of+the+acquisition+of+word+meaning&rft.creator=Farkas%2C+Igor&rft.creator=Li%2C+Ping&rft.subject=Language&rft.subject=Neural+Nets&rft.subject=Semantics&rft.subject=Psycholinguistics&rft.description=In+this+paper+we+present+a+self-organizing+connectionist+model+of+the+acquisition+of+word+meaning.+Our+model+consists+of+two+neural+networks+and+builds+on+the+basic+concepts+of+Hebbian+learning+and+self-organization.+One+network+learns+to+approximate+word+transition+probabilities%2C+which+are+used+for+lexical+representation%2C+and+the+other+network%2C+a+self-organizing+map%2C+is+trained+on+these+representations%2C+projecting+them+onto+a+2D+space.+The+model+relies+on+lexical+co-occurrence+information+to+represent+word+meanings+in+the+lexicon.+The+results+show+that+our+model+is+able+to+acquire+semantic+representations+from+both+artificial+data+and+real+corpus+of+language+use.+In+addition%2C+the+model+demonstrates+the+ability+to+develop+rather+accurate+word+representations+even+with+a+sparse+training+set.%0A&rft.date=2001&rft.type=Conference+Paper&rft.type=PeerReviewed&rft.format=application%2Fpostscript&rft.identifier=http%3A%2F%2Fcogprints.org%2F1914%2F1%2Ficcm2001.ps.gz&rft.identifier=++Farkas%2C+Igor+and+Li%2C+Ping++(2001)+A+self-organizing+neural+network+model+of+the+acquisition+of+word+meaning.++%5BConference+Paper%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F1914%2F