  In this paper, we describe our method for detection of lexical semantic
change (i.e., word sense changes over time) for the DIACR-Ita shared task,
where we ranked $1^{st}$. We examine semantic differences between specific
words in two Italian corpora, chosen from different time periods. Our method is
fully unsupervised and language independent. It consists of preparing a
semantic vector space for each corpus, earlier and later. Then we compute a
linear transformation between earlier and later spaces, using CCA and
Orthogonal Transformation. Finally, we measure the cosines between the
transformed vectors.
