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            The semantic transparency of English compound nouns

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            Author(s)
            Schäfer, Martin
            Collection
            Knowledge Unlatched (KU)
            Language
            English
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            Abstract
            What is semantic transparency, why is it important, and which factors play a role in its assessment? This work approaches these questions by investigating English compound nouns. The first part of the book gives an overview of semantic transparency in the analysis of compound nouns, discussing its role in models of morphological processing and differentiating it from related notions. After a chapter on the semantic analysis of complex nominals, it closes with a chapter on previous attempts to model semantic transparency. The second part introduces new empirical work on semantic transparency, introducing two different sets of statistical models for compound transparency. In particular, two semantic factors were explored: the semantic relations holding between compound constituents and the role of different readings of the constituents and the whole compound, operationalized in terms of meaning shifts and in terms of the distribution of specifc readings across constituent families.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/187260
            Keywords
            Linguistics; Noun; Semantics; Synonym ring; Transparency (linguistic); WordNet; thema EDItEUR::C Language and Linguistics::CF Linguistics
            DOI
            10.5281/zenodo.1134595
            ISBN
            9783961100309
            Publisher
            Language Science Press
            Publisher website
            http://langsci-press.org/
            Publication date and place
            2018-01-22
            Grantor
            • Knowledge Unlatched
            Series
            Morphological Investigations,
            • OAPEN harvesting collection

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            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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