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. © 2013 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Zou, X., Sun, N., Zhang, H., & Hu, J. (2013). Language Processing and Intelligent Information Systems. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7912(June 2013), 145–150. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84888250161&partnerID=tZOtx3y1
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