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The semantic transparency of English compound nouns

What it is about

The book asks how far the meaning of an English noun-noun compound can be read from its two constituents, a property called semantic transparency. The first part reviews psycholinguistic models of morphological processing, the ways transparency is measured, and approaches to compound semantics. The empirical part re-analyses earlier models built on the Reddy et al. transparency ratings, with semantic relations and meaning shifts as predictors. The author finds that these predictors largely fail once the statistics are made more careful (mixed-effects models, cleaned outliers), and that the coding of meaning shifts lacked a principled basis. He then proposes expectancy-based predictors: each compound's relation or sense is scored against the distribution of the same features across the compound families of its constituents. The annotated database covers families from 1 to 363 members. The resulting models show that the N1 and N2 family predictors behave differently.

Ideas

For Mova

The chapters are 19. The lexicon: vocabulary, multiword expressions and register (compounds and multiword expressions) and 18. Compounding, conversion and the minor processes. The code is en/src/dict.rs and the pupil dictionary world/src/dictionary.rs. The statistical models are not for Mova; the family-expectancy feature and the reliability check are. Measure: the share of compounds in a school text whose sense is predicted by the family feature, and the agreement of two codings on a sample.

Cite

The paper itself, not this card. BibTeX from the library's record of the work.

@book{schafer2018semantic,
  title = {{The semantic transparency of English compound nouns}},
  author = {Schäfer, Martin},
  year = {2018},
  url = {https://zenodo.org/records/1134595}
}

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