Using large corpora of chronologically ordered language, it is possible to explore diachronic phenomena, identifying previously unknown correlations between language usage and time periods, or epochs. We focused on a statistical approach to epoch delimitation and introduced the task of epoch characterization. We investigated the significant changes in the distribution of terms in the Google N-gram corpus and their relationships with emotion words. The results show that the method is reliable and the task is feasible.
REF use a statistical approach for the characterization of epochs.
Behind the Times: Detecting Epoch Changes using Large Corpora
IJCNLP
Computer Science