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ZENODO; Languages in Contrast
Article . Other literature type . 2016 . Peer-reviewed
License: CC BY
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Languages in Contrast
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Verbs of letting in Germanic and Romance languages: A quantitative investigation based on a parallel corpus of film subtitles

A quantitative investigation based on a parallel corpus of film subtitles
Authors: Natalia Levshina;

Verbs of letting in Germanic and Romance languages: A quantitative investigation based on a parallel corpus of film subtitles

Abstract

This study compares eleven verbs of letting in six Germanic and five Romance languages. The aim of this paper is to pinpoint the differences and similarities in the semasiological variation of these verbs, both across and within the two language groups they represent. The results of a Multidimensional Scaling analysis based on a parallel corpus of film subtitles show that the verbs differ along several semantic dimensions, such as letting versus leaving, factitive versus permissive causation, as well as modality and discourse function. Although the main differences between the verbs lend themselves to a genealogical interpretation (Germanic vs. Romance), a distributional analysis of constructional patterns in which the verbs occur reveals that these differences are in fact distributed areally, with a centre and a periphery.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Average
Average
Green
hybrid