Representing Meaning Change in Computational Lexical Resources: The Case of Shame and Embarrassment Terms in Old English

The inclusion of diachronic information detailing changes in the meanings of words over time can be extremely helpful in modelling broad coverage digital lexical resources but it is often crucial for lexical resources serving such fields as classical philology or historical linguistics where the diachronic aspects of a language are explicitly taken into consideration. In this article we present a linked data based model for representing meaning change in lexico-semantic resources called lemonDia and describe its use in modelling a lexicon of Old English terms for shame and embarrassment.