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Psycholinguistic research shows that key properties of the human sentence processor are incrementality, connectedness (partial structures contain no unattached nodes), and prediction (upcoming syntactic structure is anticipated). However, there is currently no broad-coverage parsing model with these properties. In this article, we present the first broad-coverage probabilistic parser for PLTAG, a variant of TAG which supports all three requirements. We train our parser on a TAG-transformeddoi:10.1162/coli_a_00160 fatcat:njvew723djeaja3udn5icccu5y