Contextual Relations of Words in Grimm Tales, Analyzed by Self-Organizing Map
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TL;DR
In the experiments reported in this work the source data consisted of the raw text of Grimm fairy tales without any prior syntactic or semantic categorization of the words, and the algorithm was able to create diagrams that seem to comply reasonably well with the traditional syntactical categorizations and human intuition about the semantics of the words.
Abstract
Semantic roles of words in natural languages are re(cid:13)ected by the contexts in which they occur. These roles can explicitly be visualized by the Self-Organizing Map (SOM). In the experiments reported in this work the source data consisted of the raw text of Grimm fairy tales without any prior syntactic or semantic categorization of the words. The algorithm was able to create diagrams that seem to comply reasonably well with the traditional syntactical categorizations and human intuition about the semantics of the words.