F. Mollica

Latest

• Information-theoretic and machine learning methods for semantic categorization
• Perceptual discriminability drives overinformative reference, but colour information is special
• Usage frequency predicts lexicalization across languages
• Even laypeople use legalese
• A note on complexity in efficient communication analyses of semantic typology
• Even Laypeople Use Legalese
• So much for plain language: An analysis of the accessibility of United States federal laws over time
• What can L1 speakers tell us about *killing hope*? A novel behavioral measure for identifying collocations
• A colorful formalization of the typological prevalence hypothesis.
• Diverse mathematical knowledge among indigenous Amazonians
• Even lawyers do not like legalese
• Communicative Efficiency or Iconic Learning: Do communicative and acquisition pressures interact to shape colour-naming systems?
• Logical word learning: The case of kinship
• Poor writing, not specialized concepts, drive processing difficulty in legal texts
• So much for plain language: An analysis of the accessibility of United States federal laws (1951-2009)
• Contrast perception as a visual heuristic in the formulation of referential expressions
• Speakers and listeners exploit word order for communicative efficiency: A cross-linguistic investigation
• The forms and meanings of grammatical markers support efficient communication
• What did I sign? A study of the impenetrability of legalese in contracts
• An efficient communication analysis of morpho-syntactic grammatical features.
• Grammatical marking and the tradeoff between code length and informativeness.
• How do you know that? Automatic belief inferences in passing conversation
• Humans store about 1.5 megabytes of information during language acquisition.
• The Human Learning Machine: Rational Constructivist Models of Conceptual Development
• Adults use gradient similarity information in compositional rules.
• Certainty is primarily determined by past performance during concept learning
• A rational constructivist account of the characteristic to defining shift.
• An incremental information theoretic buffer supports sentence processing.
• How data drives early word learning: a cross-linguistic waiting time analysis.
• Semantic verification is flexible and sensitive to context
• What determines human certainty?
• The perceptual foundation of linguistic context.
• Towards semantically rich and recursive word learning models.