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Incipient Grammaticalisation

Sources of passive constructions in Old High German and Old English
Authors: Robert Mailhammer; Elena Smirnova;

Incipient Grammaticalisation

Abstract

In this paper we deal with Old English and Old High German copula constructions combining verbs denoting ‘be’ and ‘become’ with past participles, which are traditionally analysed as periphrastic passive constructions. We propose that these constructions cannot be seen as grammaticalised passives but rather as fully compositional structures. We investigate these constructions from an aspectual perspective and argue that the passive is only one of several possible readings for these constructions, though one that follows logically from certain combinations. In particular, we show that the copula verbs act as aspect operators that select different parts of the event structure of the past participle, and that transitivity is the crucial factor that gives rise to passive readings. As a conclusion, we outline a detailed corpus investigation in order to catalogue all possible readings and then ultimately make a contribution to the different developments of the passive in English and German.

Keywords

Dialectology), 200406 - Language in Time and Space (incl. Historical Linguistics, Communication and Culture, 430, 970120 - Expanding Knowledge in Languages

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
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!
23
Average
Top 10%
Top 10%
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