NoDaLiDa and Term Typology

At the 19th NoDaLiDa I presented a paper – “New Measures to Investigate Term Typology by Distributional Data” – in poster form with results from my recently completed DISTRESS project on distributional analysis of language. The paper gave some ideas on how differences in distribution are reflected in the representation and how those differences tentatively can be used to distinguish different types of term. For instance, a term with a broad range of distributional neighbours is likely to be of a different semantic type than one with a tightly constrained semantic neighbourhood.