A Feature Type Classification for Therapeutic Purposes: A Preliminary Evaluation with Non-Expert Speakers
Providing sets of semantically related words in the lexical entries of an electronic dictionary should help language learners quickly understand the meaning of the target words. Relational information might also improve memorisation, by allowing the generation of structured vocabulary study lists. However, an open issue is which semantic relations are cognitively most salient, and should therefore be used for dictionary construction. In this paper, we present a concept description elicitation experiment conducted with German and Italian speakers. The analysis of the experimental data suggests that there is a small set of concept-class–dependent relation types that are stable across languages and robust enough to allow discrimination across broad concept domains. Our further research will focus on harvesting instantiations of these classes from corpora.