The integration of syntax and semantic plausibility in a wide-coverage model of human sentence processing [Elektronische Ressource] / vorgelegt von Ulrike Padó

224

pages

English

Documents

2007

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224

pages

English

Ebook

2007

Lire

Le téléchargement nécessite un accès à la bibliothèque YouScribe Tout savoir sur nos offres

Publié par

universitat_des_saarlandes

Publié le

01 janvier 2007

Nombre de lectures

Langue

English

Poids de l'ouvrage

1 Mo

TheIntegrationofSyntaxandSemanticPlausibilityinaWide CoverageModelofHumanSentenceProcessingDissertationzurErlangungdesakademischenGradeseinesDoktorsderPhilosophiederPhilosophischenFakultätenderUniversitätdesSaarlandesvorgelegtvonUlrikePadóausDetmoldSaarbrücken,2007Dekan: Prof. Dr. UlrikeDemskeBerichterstatter: Prof. Dr. MatthewW.CrockerDr. FrankKellerTagderletztenPrüfungsleistung: 21.5.2007AbstractModels of human sentence processing have paid much attention to three key char-acteristics of the sentence processor: Its robust and accurate processing of unseeninput(widecoverage),itsimmediate,incrementalinterpretationofpartialinputanditssensitivitytostructuralfrequenciesinpreviouslanguageexperience. Inthisthesis,weproposeamodelofhumansentenceprocessingthataccountsforthesethreecharac teristicsandalsomodelsafourthkeycharacteristic,namelytheinﬂuenceofsemanticplausibilityonsentenceprocessing.Thepreconditionforsuchasentenceprocessingmodelisageneralmodelofhumanplausibility intuitions. We therefore begin by presenting a probabilistic model ofthe plausibility of verb argument relations, which we estimate as the probability ofencountering a verb argument pair in the relation speciﬁed by a thematic role in arole annotated training corpus. This model faces a signiﬁcant sparse data problem,whichwealleviatebycombiningtwoorthogonalsmoothingmethods. Weshowthatthesmoothedmodel’spredictionsaresigniﬁcantlycorrelatedtohumanplausibilityjudgementsforarangeoftestsets.

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