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.

翻译：在本文中, 我们描述我们用来检测 DIACR- Ita 共同任务词义变化( 即时间上的字感变化) 的方法, 也就是我们排名为 1 $\\\ st} $ 的 DIACR- Ita 共享任务 。 我们从不同的时段中选择了两个意大利语团中的具体字词的语义差异。 我们的方法是完全不受监督的, 语言是独立的 。 它包括早晚为每个星体准备一个语义矢量空间 。 然后我们用 CC 和 Orthogonal Transforction 来计算早期和以后空间之间的线性变化 。 最后, 我们用 CC 和 Orthogonal Transformation 来测量被转换的矢量变矢量的矢量 。