Topics include, but are not limited to:

• Incremental parsers for diverse grammar formalisms
• Stochastic models of factors encouraging one production or interpretation over its competitors
• Models of cognitively-plausible semantic or pragmatic interpretation and/or composition
• Models of human language acquisition, including phonology, morphology, syntax, and semantics
• Models of human language adaptation in a changing linguistic environment
• Quantitative measures of comprehension difficulty
• Models of generalization in language learning
• Development and evaluation of NLP systems using cognitive principles and measurements (e.g. plausibility of different artificial neural network architectures for human cognition)
• Models of linguistic information propagation and language change in communication networks
• Psychologically motivated models of grammar induction or semantic learning