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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1075/scl.11...
Part of book or chapter of book . 2023 . Peer-reviewed
Data sources: Crossref
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Light Verb Constructions in English-Spanish translation

What corpora can tell us
Authors: Rosa Rabadán;

Light Verb Constructions in English-Spanish translation

Abstract

Light Verb Constructions (LVCs) are combinations of a partially delexicalized verb and a noun indicating an action or an event (e. g., give a description). Studies modelled on the Meaning-Text theory and qualia roles of the Generative Lexicon model propose that LVCs combine nouns and verbs according to shared underlying, underspecified semantic features. This paper explores these features’ role in translating English LVCs into Spanish. Data come from the parallel corpus P-ACTRES 2.0, including fiction and nonfiction materials. Results indicate that translation choices for LVCs with have, take, make/do, and give are governed by the same notions of transference, inception, and volition that determine their combinatorial compatibility. Register also seems to influence the choice. This information may prove significant to machine translation, bi/multilingual writing support, and post-editing.

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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!
3
Top 10%
Average
Average
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