Andreas Baumann, Klaus Hofmann, Anna Marakasova, Julia Neidhardt, Tanja Wissik
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Semantic micro-dynamics as a reflex of occurrence frequency: a semantic networks approach
Abstract This article correlates fine-grained semantic variability and change with measures of occurrence frequency to investigate whether a word’s degree of semantic change is sensitive to how often it is used. We show that this sensitivity can be detected within a short time span (i.e., 20 years), basing our analysis on a large corpus of German allowing for a high temporal resolution (i.e., per month). We measure semantic variability and change with the help of local semantic networks, combining elements of deep learning methodology and graph theory. Our micro-scale analysis complements previous macro-scale studies from the field of natural language processing, corroborating the finding that high token frequency has a negative effect on the degree of semantic change in a lexical item. We relate this relationship to the role of exemplars for establishing form–function pairings between words and their habitual usage contexts.
期刊介绍:
Cognitive Linguistics presents a forum for linguistic research of all kinds on the interaction between language and cognition. The journal focuses on language as an instrument for organizing, processing and conveying information. Cognitive Linguistics is a peer-reviewed journal of international scope and seeks to publish only works that represent a significant advancement to the theory or methods of cognitive linguistics, or that present an unknown or understudied phenomenon. Topics the structural characteristics of natural language categorization (such as prototypicality, cognitive models, metaphor, and imagery); the functional principles of linguistic organization, as illustrated by iconicity; the conceptual interface between syntax and semantics; the experiential background of language-in-use, including the cultural background; the relationship between language and thought, including matters of universality and language specificity.