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Antonomasia: Leibniz and the Baroque

MLN - Modern Language Notes, 1990
Leibniz knows no antinomies, only antonomasia. Neither a law nor a principle stands in conflict with another equally valid one; rather, a name takes the place of a concept and a concept replaces a name. Language and thought-not reason and intuition-find themselves at odds.
Peter Fenves
exaly   +2 more sources

A is the B of C: (Semi)-Automatic Creation of Vossian Antonomasias [PDF]

open access: possible, 2023
A Vossian Antonomasia (VA) is a stylistic device used to describe a person (or, more generally, an entity) in terms of a well-known person and a modifying context. For instance, the Norwegian chess world champion Magnus Carlsen was described as “the Mozart of chess” [1].
Rockstroh, Johanna   +6 more
openaire   +2 more sources

“A Buster Keaton of Linguistics”: First Automated Approaches for the Extraction of Vossian Antonomasia [PDF]

open access: yesProceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019
First Automated Approaches for the Extraction of Vossian ...
Robert Jaschke   +2 more
exaly   +3 more sources

ANTONOMASIA AND BLENDING (TELESCOPING) IN FRENCH PRESS SLOGANS

open access: yesBulletin of the Moscow State Regional University (Linguistics), 2017
exaly   +3 more sources

Antonomasia and Personal Naming among the Ndebele of Lupane

open access: yesJournal of Cultural Heritage and Development
Antonomasia refers to the semantic mechanism of replacing a proper name with an allusion or ascription that denotes a perceived set of traits. This paper aims to examine how antonomasia as a phenomenon is used in personal naming, as driven by cognitive metonymic and metaphoric mechanisms.
exaly   +2 more sources

“Der Frank Sinatra der Wettervorhersage”: Cross-Lingual Vossian Antonomasia Extraction

2022
We present a cross-lingual approach for the extraction of Vossian Antonomasia, a stylistic device especially popular in newspaper articles. We evaluate a zero-shot transfer learning approach and two approaches that use machinetranslated training and test data.
Michel Schwab   +2 more
openaire   +2 more sources

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