Distributionalism
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Distributionalism was a general theory of language and a discovery procedure for establishing elements and structures of language based on observed usage. It can be seen as an elaboration of structuralism but takes a more computational approach. Originally mostly applied to understanding phonological processes and phonotactics, distributional methods were also applied to work on lexical semantics and provide the basis for the distributional hypothesis for meaning. Current computational approaches to learn the semantics of words from text in the form of word embeddings using machine learning are based on distributional theory.
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