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A Dataset of 108 Novel Noun-Noun Compound Words with Active and Passive Interpretation
Phoebe Chen1, David Poeppel1,2,3, Arianna Zuanazzi1,2
1Department of Psychology, New York University, New York, NY, USA.
Abstract:
We created a dataset of 205 English novel noun-noun compounds (NNCs, e.g., "doctor charity") by combining nouns with higher and lower agentivity (i.e., the probability of being an agent in a sentence). We collected active and passive interpretations of NNCs from a group of 58 English native speakers. We then measured interpretation time differences between NNCs with active and passive interpretations (i.e., 108 NNCs), using data obtained from a group of 68 English native speakers. Data were collected online using crowdsourcing platforms (SONA and Prolific). The datasets are available at osf.io/gvc2w/ and can be used to address questions about semantic and syntactic composition.
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