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NEPHOLOGICAL SEMANTICS: Using token clouds for meaning detection in variation linguistics
The increasing importance of corpus data in linguistics creates a need for appropriate methods for retrieving semantic information from corpora. In the project proposed here, existing computational methods of distributional corpus semantics are further developed in the form of a meaning detection approach based on token clouds, i.e. clusters of distributionally similar attestations of words or expressions in a multidimensional vector space. The first phase of the project has a methodological orientation, focusing on the finetuning of such a 'nephological' method for detecting linguistic meanings in corpus data. In the second phase of the project, the method is put to use in two descriptive research lines: lectometrical research into the relationship between language varieties, and variationist grammar research.
Date:1 Oct 2015 → 30 Sep 2021
Keywords:lexical semantics, corpus linguistics, distributional semantics, dialectometry, probabilistic grammar