This article describes a semantic system which is based on distributional models obtained from a chronologically structured language resource, namely Google Books Syntactic Ngrams. The models were created using dependency-based contexts and a strategy for reducing the vector space, which consists in selecting the more infor-
mative and relevant word contexts. The system allows linguists to analize mean-
ing change of Spanish words in the written language across time.
Keywords: distributional similarity, historical linguistics, sense change, dependencies, natural language processing