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date: 19 October 2017

Abstract and Keywords

Meaning is the foundation of language production. The goal of communication is to express meaning to be understood by others. It is therefore no surprise that all accounts of lexical retrieval in production start with meaning representations of various types, implemented in various architectures, which drive retrieval of other types of lexical information. However, there is a vast gulf between the operationalization of semantic/conceptual representations in most models of lexical retrieval in production (using extremely simple assumptions about meaning similarity) and semantic/conceptual representations developed primarily by statistically or computationally oriented researchers. We argue that taking advantage of progress in computational modeling of semantics could help research in language production and, likewise, research on semantic modeling could also benefit from taking into account data arising from production research.

Keywords: semantics, concepts, distributional models, semantic features

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