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Using token-based semantic vector spaces for corpus-linguistic analyses: From practical applications to tests of theoretical claims

2017, Hilpert, Martin, Correia Saavedra, David

This paper presents token-based semantic vector spaces as a tool that can be applied in corpus-linguistic analyses such as word sense comparisons, comparisons of synonymous lexical items, and matching of concordance lines with a given text. We demonstrate how token-based semantic vector spaces are created, and we illustrate the kinds of result that can be obtained with this approach. Our main argument is that token-based semantic vector spaces are not only useful for practical corpus-linguistic applications but also for the investigation of theory-driven questions. We illustrate this point with a discussion of the asymmetric priming hypothesis (Jäger and Rosenbach 2008). The asymmetric priming hypothesis, which states that grammaticalizing constructions will be primed by their lexical sources but not vice versa, makes a number of empirically testable predictions. We operationalize and test these predictions, concluding that token-based semantic vector spaces yield conclusions that are relevant for linguistic theory-building.

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Meaning change in a petri dish: constructions, semantic vector spaces, and motion charts

2015, Hilpert, Martin, Perek, Florent

This paper explores how the visualization tool of motion charts can be used for the analysis of meaning change in linguistic constructions. In previous work, linguistic motion charts have been used to represent diachronic frequency trends and changes in the morphosyntactic behavior of linguistic units. The present paper builds on that work, but it shifts the focus to the study of semantic change. How can motion charts be used to visualize semantic change over time? In order to answer this question, we draw on semantic vector space modeling to visualize aspects of linguistic meaning. As an analogy to this approach, the title of this paper alludes to a petri dish in which the growth and development of biological microorganisms can be observed. On the basis of diachronic corpus data, we monitor developments in the semantic ecology of a construction. This allows us to observe processes such as semantic broadening, semantic narrowing, or semantic shift. We illustrate our approach on the basis of a case study that investigates the diachrony of an English construction that we call the ‘many a NOUN’ construction.