Exploring Linguistic Properties of Monolingual BERTs with Typological Classification among Languages

arXiv:2305.02215v2 Announce Type: replace
Abstract: The impressive achievements of transformers force NLP researchers to delve into how these models represent the underlying structure of natural language. In this paper, we propose a novel standpoint to investigate the above issue: using typological similarities among languages to observe how their respective monolingual models encode structural information. We aim to layer-wise compare transformers for typologically similar languages to observe whether these similarities emerge for particular layers. For this investigation, we propose to use …

abstract arxiv classification cs.ai cs.cl issue language languages natural natural language nlp novel observe paper researchers transformers type