Temporal classification for historical Romanian texts

In this paper we look at a task at border of natural language processing, historical linguistics and the study of language development, namely that of identifying the time when a text was written. We use machine learning classification using lexical, word ending and dictionary-based features, with linear support vector machines and random forests. We find that lexical features are the most helpful.