Token-based vector space models as semantic control in lexical lectometry KU Leuven
Type-based distributional semantics as embodied in vector space models has proven to be a successful method for the retrieval of near-synonyms in large corpora. These words have then been used as variants of lexical sociolinguistic variables (e.g.: return and winst for the concept profit) in lectometric studies, that is, the aggregate-level study of lexical distances between linguistic varieties, in particular pluricentric ...