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. (shrink)

This paper discusses the view that subjectifications are primarily motivated by speakers’ need for self-expression. Approaching the issue from the perspective of animal signalling, we propose that semantic subjectifications are at least equally likely to reflect evaluations and attitudes read into utterances by listeners who attempt to read speakers’ minds. We compare speaker-based and listener-based theories with regard to their predictions, sketch ways in which they can be tested and report findings from first attempts at doing so. First, we report (...) evidence from diachronic corpora. Second, we describe a game-theoretic model that relates listener’s interest in speaker intentions to the average degree of speaker-honesty in a population. Third, we report preliminary results of an experiment in which we tested if listeners were more likely to interpret an utterance as indexing speaker subjectivity when they perceived speakers as more powerful. We conclude that the listener-based hypothesis of subjectification is solid enough to warrant further investigation. (shrink)