Varying Abstractions: a conceptual vs. distributional view on prepositional polysemy
نویسندگان
چکیده
The term ‘meaning’, as it is presently employed in Linguistics, a polysemous concept, covering broad range of operational definitions. Focussing on two these definitions, meaning ‘concept’ and ‘context’ (also known ‘distributional semantics’), this paper explores to what extent definitions lead converging conclusions regarding the number nature distinct senses form covers. More specifically, investigates whether sense network that emerges from principled polysemy model over proposed by Tyler & Evans (2003; 2001) can be reconstructed neural language BERT. study assesses contextual information encoded BERT embeddings succesfully (i) recognize abstract categories (ii) replicate relative distances between model. results suggest that, while there partial convergence, models ultimately different global abstractions because imagistic plays key role conceptual approaches prepositional may not contextualized word embeddings.
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ژورنال
عنوان ژورنال: Glossa
سال: 2021
ISSN: ['2397-1835']
DOI: https://doi.org/10.5334/gjgl.1323