A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism

• Published in: arXiv.org
• Main Authors: Thompson, Brian, Mehak Preet Dhaliwal, Frisch, Peter, Domhan, Tobias, Federico, Marcello
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 11.01.2024
• Subjects: Languages; Large language models; Machine translation

We show that content on the web is often translated into many languages, and the low quality of these multi-way translations indicates they were likely created using Machine Translation (MT). Multi-way parallel, machine generated content not only dominates the translations in lower resource language...