SCOPIC Design and Overview

This paper provides an overview of the design and motivation for creating the Social Cognition Parallax Interview Corpus (SCOPIC), an open-ended, accessible corpus that balances the need for language-specific annotation with typologically-calibrated markup. SCOPIC provides richly annotated data, focusing on functional categories relevant to social cognition, the social and psychological facts that place people and others within an interconnected social context and allow people to interact with one another. By ‘parallax corpus’ we mean ‘broadly comparable formulations resulting from a comparable task’, to avoid the implications of ‘parallel corpus’ that there will be exact semantic equivalence across languages.