Abstract
The study of language variation has achieved a significant growth in the past half-century, but there is seldom research conducted from the aspect of computational lexical semantics. This paper applies a typical computational based algorithm to a diachronic corpus and attempts to track word semantic variation and change. The preliminary experiments show that our approach achieves a helpful result in semantic variation and change analysis in both overall trends and word level characteristics.
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