Vortrag: 14-16 Uhr, Raum 153 RG, Schellingstr. 3
Workshop: 16-18 Uhr, Raum 153 RG, Schellingstr. 3
Item-based patterns represent syntactic knowledge in terms of positional combinations of a single word or operator with a variable slot filler. During first and second language learning, these patterns are abstracted to more general feature-based patterns or con-structions. Using this framework one can build computational systems for dependency-based parsing, accounts of the details of child language learning, solutions to the prob-lem of poverty of the stimulus, and models that relate language processing to specific facts about neural processing.