CMCL 2014 - Cognitive Modeling and Computational Linguistics (CMCL)

The workshop invites a broad spectrum of work in the cognitive science of language, at all levels of analysis from sounds to discourse. Topics include, but are not limited to
incremental parsers for diverse grammar formalisms
derivations of quantitative measures of comprehension difficulty, or predictions regarding generalization in language learning
stochastic models of factors encouraging one production or interpretation over its competitors
models of semantic/pragmatic interpretation, including psychologically realistic notions of word meaning, phrase meaning, composition, and pragmatic inference
models and empirical analysis of the relationship between mechanistic psycholinguistic principles and pragmatic or semantic adaptation, usually in dialogue
models of human language acquisition and/or adaptation in a changing linguistic environment
models of linguistic information propagation and language change in communication networks
Submissions are especially welcomed that combine computational modeling work with empirical data (e.g., corpora or experiments) to test theoretical questions about the nature of human linguistic acquisition, comprehension, and/or production.