An information-based procedure for measuring semantic change in historical data

Yair Neuman, Harvey Hames, Yochai Cohen

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

For various contexts it may be of great interest to measure the way in which the meaning of certain target concept changes over time. In this paper, we propose a simple information-based procedure for addressing this challenge. Our procedure involves the construction of a context-vector representing the target's meaning and the use of the Kullback-Leibler divergence measure for quantifying its semantic change. This procedure is illustrated through historical case study in which we study the semantic change of the concept “Sin” in the Corpus of Historical American English. The procedure, its benefits and limitations are discussed.
Original languageEnglish
Pages (from-to)130-135
Number of pages6
JournalMeasurement: Journal of the International Measurement Confederation
Volume105
DOIs
StatePublished - 1 Jul 2017

Keywords

  • Historical data
  • Kullback-Leibler
  • Meaning
  • Multidisciplinary science
  • Semantic change

ASJC Scopus subject areas

  • Language and Linguistics

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