#3516. Distributional social semantics: Inferring word meanings from communication patterns

October 2026publication date
Proposal available till 30-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Linguistics and Language;
Developmental and Educational Psychology;
Experimental and Cognitive Psychology;
Neuropsychology and Physiological Psychology;
Artificial Intelligence;
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Abstract:
Distributional models of lexical semantics have proven to be powerful accounts of how word meanings are acquired from the natural language environment. Standard models of this type acquire the meaning of words through the learning of word co-occurrence statistics across large corpora. Integrating social and communicative information into a lexical strength measure allowed for benchmark fits to be attained for lexical organization data, indicating that the social world contains important statistical information for language learning and processing. Social information about word usage allows for unique aspects of a words meaning to be acquired, providing a new pathway for distributional model development.
Keywords:
Big data; Cognitive modeling; Distributional modeling; Lexical semantics; Machine learning

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