Simone Löhndorf

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This paper highlights the potential usefulness of combining corpus methods and experimental methods to gain new theoretical insights into the role of antonymy as an organizing lexicosemantic principle in human thinking and languages’ vocabularies. We are intrigued by what distinguishes so-called canonical antonyms such as good-bad, long-short, thin-thick(More)
We propose a method to quantify semantic linguistic maturity (SELMA) based on a high dimensional semantic representation of words created from the co-occurrence of words in a large text corpus. The method was applied to oral narratives from 108 children aged 4;0-12;10. By comparing the SELMA measure with maturity ratings made by human raters we found that(More)
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