CMCL 2017 - Cognitive Modeling and Computational Linguistics (CMCL) 2017

This workshop provides a venue for work in computational psycholinguistics: the computational and mathematical modeling of linguistic generalization, development, and processing. We invite contributions that apply methods from computational linguistics to problems in the cognitive modeling of any and all natural language-related abilities. The 2017 workshop follows in the tradition of earlier CMCL meetings at ACL 2010, ACL 2011, NAACL-HLT 2012, ACL 2013, ACL 2014, and NAACL 2015.
Scope and Topics
The workshop invites a broad spectrum of work in the cognitive science of language, at all levels of analysis from sounds to discourse and on both learning and processing. 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 semantic/pragmatic interpretation, including cognitively-plausible meaning and composition
models of human language acquisition, including phonology, morphology, syntax, and semantics
models of human language adaptation in a changing linguistic environment
derivations of quantitative measures of comprehension difficulty, or predictions regarding generalization in language learning
application of cognitive models and measurements to the development and evaluation of NLP systems (e.g., cognitive plausibility of different artificial neural network architectures)
models of linguistic information propagation and language change in communication networks
psychologically motivated models of grammar induction or semantic learning
Submissions are especially welcomed that combine computational modeling work with experimental or corpus data to test theoretical questions about the nature of human language acquisition, comprehension, and/or production.