We present our submission to SemEval-2015Task 7: Diachronic Text Evaluation, in whichwe approach the task of assigning a date toa text as a multi-class classification problem.We extract n-gram features from the text atthe letter, word, and syntactic level, and usethese to train a classifier on date-labeled trainingdata. We also incorporate date probabilitiesof syntactic features as estimated from avery large external corpus of books. Our systemachieved the highest performance of allsystems on subtask 2: identifying texts by specifictime language use.
