Web: http://arxiv.org/abs/2110.14782

May 5, 2022, 1:12 a.m. | Ameet Deshpande, Partha Talukdar, Karthik Narasimhan

cs.LG updates on arXiv.org arxiv.org

While recent work on multilingual language models has demonstrated their
capacity for cross-lingual zero-shot transfer on downstream tasks, there is a
lack of consensus in the community as to what shared properties between
languages enable such transfer. Analyses involving pairs of natural languages
are often inconclusive and contradictory since languages simultaneously differ
in many linguistic aspects. In this paper, we perform a large-scale empirical
study to isolate the effects of various linguistic properties by measuring
zero-shot transfer between four diverse …

arxiv bert cross cross-lingual transfer

More from arxiv.org / cs.LG updates on arXiv.org

Data & Insights Strategy & Innovation General Manager

@ Chevron Services Company, a division of Chevron U.S.A Inc. | Houston, TX

Faculty members in Research areas such as Bayesian and Spatial Statistics; Data Privacy and Security; AI/ML; NLP; Image and Video Data Analysis

@ Ahmedabad University | Ahmedabad, India

Director, Applied Mathematics & Computational Research Division

@ Lawrence Berkeley National Lab | Berkeley, Ca

Business Data Analyst

@ MainStreet Family Care | Birmingham, AL

Assistant/Associate Professor of the Practice in Business Analytics

@ Georgetown University McDonough School of Business | Washington DC

Senior Data Science Writer

@ NannyML | Remote