Findings of the WMT24 General Machine Translation Shared Task: The LLM Era is Here but MT is Not Solved Yet

Tom Kocmi
Eleftherios Avramidis
Rachel Bawden
Ondrej Bojar
Anton Dvorkovich
Christian Federman
Mark Fishel
Thamme Gowda
Roman Grundkiewicz
Barry Haddow
Marzena Karpinska
Philipp Koehn
Benjamin Marie
Christof Monz
Kenton Murray
Masaaki Nagata
Martin Popel
Maja Popovic
Mariya Shmatova
Steinþór Steingrímsson
Vilém Zouhar
2024

Abstract

This overview paper presents the results of the General Machine Translation Task organised as part of the 2024 Conference on Machine Translation (WMT). In the general MT task, participants were asked to build machine translation systems for any of 11 language pairs, to be evaluated on test sets consisting of three to five different domains. In addition to participating systems, we collected translations from 8 different large language models (LLMs) and 4 online translation providers. We evaluate system outputs with professional human annotators using a new protocol called Error Span Annotations (ESA).