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 1st. 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.
@article{arxiv.2011.14678,
title = {UWB @ DIACR-Ita: Lexical Semantic Change Detection with CCA and Orthogonal Transformation},
author = {Ondřej Pražák and Pavel Přibáň and Stephen Taylor},
journal= {arXiv preprint arXiv:2011.14678},
year = {2020}
}